5 Nltk Jobs nearby Manesar

As a Data Scientist at Axtria, you will be part of the Data Science Practice team, contributing individually to solve real-world problems using cutting-edge capabilities and emerging technologies. Your responsibilities will include: - Helping clients translate business use cases into data science solutions - Configuring, maintaining, documenting, and updating data sources - Working with machine learning frameworks like TensorFlow, Caffe, Keras, and SparkML - Demonstrating expertise in statistical and probabilistic methods such as SVM, Decision-Trees, and Clustering - Utilizing python data-science and math packages like NumPy, Pandas, and Scikit-learn - Proficiency in object-oriented languages (Java and/or Kotlin), Python, and common machine learning frameworks - Experience in IOS development and React Native - Experience in Fullstack development with React and Python Qualifications required for this role include: - Bachelor's Equivalent in Engineering - Master's Equivalent in Engineering - 3-6 years of experience as a Data Scientist with expertise in advanced statistical and mathematical models, predictive modeling using Python, and AI/ML algorithms - Experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, and Airflow, Docker, Kubernetes, OpenShift - Experience in developing, testing, and deploying Python based applications on Azure/AWS platforms - Familiarity with concepts of Generative AI/LLMs/GPT, web technologies, Python, SQL, and popular web frameworks - Minimum 3 years of experience as an IOS Developer and 5+ years in React Native development - 3-6 years of experience as a Fullstack Developer deploying React, Javascript, Python based applications on Azure/AWS platforms, with expertise in frontend and backend technologies Join Axtria's Data Science Practice to accelerate the company's growth and support clients" commercial & clinical strategies with your expertise and innovative solutions.,

As a Data Science Analyst at Metyis, your role will involve supporting data science projects by contributing to data preparation, data analysis, and modeling tasks. You will work closely with stakeholders to gather requirements and prepare data for analysis. Your responsibilities will include performing data cleaning, preprocessing, and exploratory analysis on structured and unstructured datasets. Additionally, you will help build and evaluate predictive models, forecasting solutions, and recommendation engines. Collaboration with cross-functional teams, including data engineers and business analysts, to support the implementation of data solutions will also be a key part of your role. Key Responsibilities: - Contribute to data preparation, analysis, and modeling tasks for data science projects - Gather requirements from stakeholders and prepare data for analysis - Perform data cleaning, preprocessing, and exploratory analysis on various datasets - Build and evaluate predictive models, forecasting solutions, and recommendation engines - Collaborate with cross-functional teams to support the implementation of data solutions Qualifications Required: - Graduate degree or higher with courses in programming, econometrics/data science - 1-3 years of professional work experience in advanced analytics domain, using statistical modeling - Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities - Excellent presentations skills and storytelling capabilities - Self-driven with a collaborative attitude and a passion for delivering business value through data - Strong hands-on experience in Python/R and SQL - Experience with data visualization tools in Python like Seaborn, Plotly - Good understanding of Git concepts - Experience with data manipulation tools in Python like Pandas, Numpy - Experience with scikit learn, NLTK, Spacy, transformers - Solid understanding of basic machine learning concepts and commonly used algorithms - Exposure to predictive modeling and statistical techniques such as hypothesis testing, correlation analysis, and basic time series forecasting - Ability to perform data cleaning, preprocessing, and exploratory data analysis - Basic knowledge of deep learning concepts and frameworks like TensorFlow, PyTorch Additionally, it would be nice to have foundational knowledge of Generative AI, exposure to model deployment, API integration, and CI/CD pipelines, and an understanding of cloud platforms such as Azure, AWS, or GCP.,

As a member of the Metyis team, you will be part of a global and forward-thinking firm that operates across various industries, specializing in AI & Data, Digital Commerce, Marketing & Design solutions, and Advisory services. Our long-term partnership model focuses on bringing lasting impact and growth to our business partners and clients through our extensive execution capabilities. You will have the opportunity to lead and manage the delivery of complex data science projects, ensuring quality and timelines are met. Engaging with clients and business stakeholders to understand challenges and translate them into analytical solutions will be a key aspect of your role. You will design solution architectures, align technical deliverables with business goals, and communicate insights clearly through presentations and visualizations for both technical and non-technical audiences. **Key Responsibilities:** - Interact with C-level clients to drive impactful change - Lead your team in creating new business solutions - Manage the delivery of complex data science projects - Engage with clients to understand business challenges and translate them into analytical solutions - Design solution architectures and guide the technical approach - Align technical deliverables with business goals - Communicate insights clearly through presentations and visualizations - Promote best practices in coding, model validation, and documentation - Collaborate with cross-functional teams for smooth integration and deployment of solutions - Drive experimentation and innovation in AI/ML techniques **Qualifications Required:** - 6+ years of experience in delivering full-lifecycle data science projects - Ability to lead cross-functional teams and manage client interactions independently - Strong business understanding with the ability to connect data science outputs to strategic business outcomes - Experience with stakeholder management and translating business questions into data science solutions - Track record of mentoring junior team members - Familiarity with data productization and ML systems in production - Experience with project management, resourcing, and client communication - Strong hands-on experience in Python/R, SQL, and cloud platforms like Azure, AWS, or GCP - Proficiency in data manipulation tools like Pandas and Numpy, and visualization tools like Seaborn and Plotly - Familiarity with Git, scikit-learn, NLTK, Spacy, transformers, Power BI, Tableau, Docker, and Kubernetes - Strong foundation in machine learning algorithms, deep learning concepts, time-series forecasting, and business analytics - Exposure to MLOps, model governance best practices, optimization, and recommendation system solutions,

Role Overview: As an AVP - Specialized Analytics Sr Anlst in the Data Science and Modeling team of the North America Consumer Bank at Citi, you will be responsible for creating client-centric analytic solutions to business problems. Your role will involve owning and delivering multiple and complex analytic projects, staying updated with the latest modeling community use cases, machine learning, and deep learning algorithms, and sharing knowledge within the team. You will be proficient in basic statistics, hypothesis testing, segmentation, and predictive modeling, and possess strong communication skills to translate technical thoughts and ideas to a larger audience, including influencing peers and senior management. Moreover, you will demonstrate strong project management skills, coach and mentor juniors, and contribute to various organizational initiatives. Key Responsibilities: - Work with large and complex data sets using tools such as Python, PySpark, SQL, and R to build optimization and modeling solutions for various business requirements - Focus on model building, model validations, model implementation, and model governance related responsibilities for multiple portfolios - Document data requirements, data collection, processing, cleaning, and exploratory data analysis, utilizing statistical models, optimization algorithms, and data visualization techniques - Collaborate with team members and business partners to build model-driven solutions using traditional methods as well as machine learning driven modeling solutions - Ensure compliance of models with Citi standards by working with model governance and fair lending teams - Assess risks when making business decisions, safeguarding Citigroup, its clients, and assets, and driving compliance with applicable laws, rules, and regulations Qualifications Required: - Masters with 7+ years of professional experience in fields such as Computer Science, Machine Learning, Operations Research, Econometrics, Statistics, or a highly quantitative field - Sound knowledge of machine learning, deep learning, and statistical modeling techniques - Experience with Machine Learning software frameworks and Python libraries (e.g., scikit-learn, xgboost, Keras, NLTK, BERT, TensorFlow) - Hands-on experience in PySpark, Python, R programming, and strong SQL skills - Proficiency in working with large datasets, data warehouses, and conducting data analysis - Strong background in Statistical Analysis - Self-motivated with a structured thought process to solve complex problems and present solutions effectively - Experience in Credit Cards and Retail Banking preferred Additional Company Details: Citi's mission is to serve as a trusted partner to clients by providing financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and embrace opportunities. The Analytics and Information Management (AIM) unit, including the Next Gen Analytics (NGA) team, focuses on connecting and analyzing information to create actionable intelligence for business leaders and identify revenue growth opportunities in partnership with businesses. The NGA modeling team within AIM concentrates on client-centric analytic solutions, model building, and implementing solutions to create economic value for the bank.,

Role Overview: Join us as a Lead Engineer and support the technical delivery of a software engineering team. You will be responsible for developing solution design options, explaining pros and cons to key stakeholders for decision-making, and overseeing work quality to meet technical standards. This role offers an opportunity to hone your technical skills and advance your career at the associate vice president level. Key Responsibilities: - Support a team of developers and set technical direction for deliveries - Apply software engineering principles and methodologies to design, develop, test, and maintain applications and services - Monitor technical progress, safeguard functionality, scalability, and performance, and provide updates to stakeholders - Mentor the team in software languages and technical domains - Drive adoption of software engineering principles, processes, and best practices - Collaborate with engineers, architects, business analysts, and stakeholders to understand objectives, requirements, and options - Design and develop high-volume, high-performance, and high-availability applications using proven frameworks and technologies Qualifications Required: - Minimum eight years of experience in software engineering, software design, or database design and architecture - Experience in providing technical leadership and accountability for a software engineering team - Proficiency in test-driven development, automated test frameworks, mocking, stubbing, and unit testing tools - Knowledge of software delivery lifecycle phases and established development methodologies - Experience with Python packages like Pandas, SciKit Learn, PyTorch, TensorFlow, NLTK, Spacy, HuggingFace, LangChain, LangGraph, and CrewAI - Proficiency in database languages such as SQL, BigQuery, and NoSQL, as well as big data technologies and cloud environments like GCP, AWS, and Azure - Familiarity with AI and NLP approaches like BERT, GPT, Transfer Learning, Gen AI, Prompt Engg, and Vector DB - Experience in designing and building end-to-end machine learning-based pipelines and MLOPs lifecycle,

As an Associate in the Credit Risk Innovation team, you play a crucial role in keeping JPMorgan Chase strong and resilient by contributing to the development of next-generation solutions for credit risk analytics and portfolio management. Your responsibilities include: - Leading the end-to-end lifecycle of credit risk analytics products, from ideation to launch and iteration. - Architecting and developing platforms using Python/PySpark, cloud technologies (AWS, Azure), and modern front-end frameworks (React, Angular). - Integrating advanced risk models and analytics into banking products and portfolios to ensure data-driven, scalable, and regulatory-compliant solutions. - Collaborating with risk, product, and tech teams globally to deliver impactful solutions and drive adoption. - Leveraging AI/ML, LLMs, and automation to enhance credit risk review, underwriting, and monitoring processes. - Developing product proposals, managing backlogs, prioritizing features, and communicating progress to stakeholders. - Working in cross-functional squads, applying agile methodologies (Scrum, Kanban), and iterating quickly based on stakeholder feedback. Qualifications and skills required for this role include: - 5 years of experience in product development, data science, or credit risk analytics with a Bachelor's degree in a quantitative or technical field (CS, engineering, math, etc.). - Experience in product management or product development, preferably in risk analytics or banking technology. - Proficiency in Python/PySpark, cloud platforms, data visualization (Tableau), and front-end/back-end development. - Solid understanding of credit risk, banking products, portfolio analytics, and regulatory requirements. - Hands-on experience with agile frameworks, sprint planning, and backlog management. - Ability to simplify complex business challenges and deliver practical, scalable solutions. - Proficiency in translating technical concepts for business stakeholders and fostering cross-team collaboration. Preferred qualifications, capabilities, and skills for this role include: - Practical experience with Generative AI, large language models (LLMs), and automation in financial services. - Hands-on expertise with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK) and prompt engineering for generative AI. - Knowledge of Retrieval-Augmented Generation (RAG) architectures and enterprise AI applications. - Experience in implementing, fine-tuning, and integrating AI/ML models with cloud platforms and cloud-native services. - Solid understanding of MLOps practices for deploying, monitoring, and maintaining AI solutions. - Strong UI/UX and dashboarding skills. - Proficiency in agile tools (JIRA, Confluence) and project management methodologies. Join the Credit Risk Innovation team at JPMorgan Chase and be part of a culture that promotes thinking outside the box, challenging the status quo, and striving to be best-in-class in transforming risk management in banking.,

You will be working as an advanced analyst in the India Analytics team at Thoucentric, closely collaborating with the Community Voice team. Your main responsibility will be building analytical solutions using unstructured text data to provide scalable insights and solutions for data-driven decisions. This is a 6-month contract role with a possibility of extension, situated under the Analytics Centre of Excellence within the Global Ops Insights organization. - Build, maintain, and scale ML/LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim. - Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases. - Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights. - Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data. - Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly). - Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions. - Stay up to date with the latest trends and best practices in NLP, AI/LLMs and experiment with newer techniques to shift bias towards efficiency. - Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques. Skills & Expertise Required: - 5-8 years of industry experience and an Advanced degree in Business Analytics or other quantitative field (Masters or PhD is a plus). - Proven track record of delivering full stack AI/ML projects from inception to business impact. - Advanced level proficiency in Python, including libraries such as NLTK, spaCy, scikit-learn, numpy, and pandas. - Strong understanding of SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Familiarity with linear regression, logistic regression, SVM, random forest, advanced concepts of NLP, KNN, K-Means, A/B testing, and multivariate testing. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. - Hands-on experience in text classification, sentiment analysis, topic modeling, and named entity recognition (NER), proficiency in building and deploying machine learning models and analyzing unstructured data. - Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn. - Familiarity with Git or other version control systems, deep learning models for NLP tasks, such as transformers (e.g., BERT, GPT). - Possess a positive and solution-oriented mindset, with exceptional problem-solving abilities, self-motivation, and strong organizational and time management skills. - Excellent communication and collaboration skills with the ability to work effectively in a cross-cultural and cross-functional environment. - Ability to conduct exploratory data analysis (EDA) to uncover insights and trends in data and communicate findings to both technical and non-technical audiences. Thoucentric offers a great consulting environment where you have the opportunity to define your career path, work with Fortune 500 companies and startups, and be part of a supportive working environment that encourages personal development. Additionally, you will be part of an extended family with an open culture, flat organization, and excellent peer group, contributing to the exciting growth story of Thoucentric.,

As an Associate in the Credit Risk Innovation team at our company, you will play a crucial role in developing next-generation solutions for credit risk analytics and portfolio management. Your responsibilities will involve leading the lifecycle of credit risk analytics products, architecting and developing platforms using Python/PySpark and modern front-end frameworks, integrating advanced risk models into banking products, and leveraging AI/ML and automation to enhance credit risk processes. Key Responsibilities: - Lead the end-to-end lifecycle of credit risk analytics products, from ideation to launch and iteration. - Architect and develop platforms using Python/PySpark, cloud technologies, and modern front-end frameworks. - Integrate advanced risk models and analytics into banking products, ensuring scalability and regulatory compliance. - Partner with cross-functional teams to deliver impactful solutions and drive adoption. - Utilize AI/ML and automation to enhance credit risk review, underwriting, and monitoring processes. - Develop product proposals, manage backlogs, prioritize features, and communicate progress to stakeholders. - Work in cross-functional squads, apply agile methodologies, and iterate quickly based on stakeholder feedback. Qualifications Required: - 5 years of experience in product development, data science, or credit risk analytics with a Bachelor's degree in a quantitative or technical field. - Proficiency in Python/PySpark, cloud platforms, data visualization, and front-end/back-end development. - Solid understanding of credit risk, banking products, portfolio analytics, and regulatory requirements. - Hands-on experience with agile frameworks, sprint planning, and backlog management. - Ability to translate technical concepts for business stakeholders and drive cross-team collaboration. Additional Company Details: Our culture encourages thinking outside the box, challenging the status quo, and striving to be best-in-class. We value innovation, collaboration, and a commitment to responsible growth in the banking sector. Please note that the Preferred qualifications, capabilities, and skills are not included in the job description provided.,

In this role at Miratech, you will be working with Large Language Models (LLMs) to design, develop, and integrate advanced AI solutions within the platform. Your focus will be on automating data processing, generating actionable insights, and enhancing decision-making workflows through natural language understanding. **Responsibilities:** - Design, develop, and optimize NLP models for text processing, classification, and information extraction. - Apply machine learning and AI techniques to address real-world business problems. - Utilize DBT, Snowflake, and Airflow to create robust and scalable data pipelines that support ML workflows. - Conduct exploratory data analysis (EDA), feature engineering, and model evaluation. - Deploy and monitor models in production, ensuring performance and scalability. - Collaborate with cross-functional teams to translate requirements into actionable AI/ML solutions. - Document processes, models, and workflows to uphold reproducibility and knowledge sharing standards. **Qualifications:** - 2+ years of hands-on experience in NLP, Machine Learning, and AI. - Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SpaCy, NLTK, or HuggingFace). - Solid understanding of data modeling, ETL pipelines, and SQL. - Experience with DBT, Snowflake, and Airflow. - Familiarity with MLOps practices and deployment in cloud environments (AWS, GCP, or Azure). - Strong analytical and problem-solving skills with attention to detail. - Good communication and collaboration abilities. - Bachelors/Masters degree in Computer Science, Data Science, AI, or related field. At Miratech, you will benefit from the following: - **Culture of Relentless Performance**: Join a technology development team with a 99% project success rate and significant revenue growth. - **Work From Anywhere Culture**: Enjoy the flexibility of remote work. - **Growth Mindset**: Access professional development opportunities, certification programs, mentorship, and talent investment programs. - **Global Impact**: Collaborate on impactful projects for top global clients. - **Welcoming Multicultural Environment**: Thrive in an inclusive work environment with open communication and team-building events. - **Social Sustainability Values**: Contribute to sustainable business practices focused on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.,

As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skills:** - Strong analytical and problem-solving abilities. - Excellent communication skills, both written and verbal. - Ability to work independently and collaboratively in a team environment. - Attention to detail and commitment to high-quality deliverables. **Preferred Qualifications:** - Experience with machine learning techniques applied to geospatial data. - Knowledge of API integration and data fetching. - Experience with object detection algorithms. - Understanding of spatial databases (e.g., PostGIS). - 3-5 years of experience in data science, machine learning, and deep learning. - Strong expertise in ML, DL, and NLP. - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Experience with NLP libraries (NLTK, spaCy). If you are passionate about geospatial data analysis, have a strong educational background, hands-on experience, and the required skills, we encourage you to apply for this exciting opportunity at Garudalytics. The company is located in Hyderabad, and the position is full-time within the Data Science department. To apply, please submit your resume and cover letter to hr@garudalytics.com. *Note: Benefits include health insurance, provident fund, morning shift, performance bonus, and the ability to commute/relocate to Kukatpally, Hyderabad, Telangana. The application deadline is 07/06/2025, and the expected start date is 20/06/2025.* As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skill

You will be working on Python programming language with concepts like Multi-threading, Multi-Processing, Regular Expressions, Exception Handling, etc. You should be familiar with Python libraries such as Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Your role will involve Data Modelling and Data Transformation, Data Processing on Structured and Unstructured data, as well as working with Relational Databases. Query Optimization, Query building, and experience with ORMs like SQLAlchemy will be part of your responsibilities. Exposure to databases like MSSQL, Postgres, Oracle, etc. will be beneficial. Key Responsibilities: - Strong experience in Python - Proficiency in Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Qualifications Required: - Functional and Object Oriented Programming (OOPS) - Familiarity with Web services technologies (HTTP, SOAP, REST, XML, JSON) - Knowledge of AWS cloud services: EC2, S3, Batch, ECS, Secret Manager, EMR, etc. The company offers an opportunity to work on bleeding-edge projects, collaborate with a highly motivated and dedicated team, competitive salary, flexible schedule, benefits package including medical insurance, sports, corporate social events, professional development opportunities, and a well-equipped office. Please Note: The above qualifications and responsibilities are indicative and may be subject to change or modification based on business requirements.,

You have a solid understanding of Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch. Additionally, you are experienced in popular Python frameworks like Django, Flask, or Pyramid. Your knowledge extends to data science and machine learning concepts and tools, along with a working understanding of cloud platforms such as AWS, Google Cloud, or Azure. You have actively contributed to open-source Python projects or engaged with the Python community. Moreover, you possess experience in front-end development using HTML, CSS, and JavaScript, along with familiarity with database technologies like SQL and NoSQL. Your excellent problem-solving skills are complemented by solid communication and collaboration abilities. **Key Responsibilities:** - Analyzing the ML algorithms that could be used to solve a given problem - Verifying data quality and ensuring it via data cleaning - Supervising the data acquisition process if more data is needed - Finding available datasets online that could be used for training - Defining validation strategies - Defining the preprocessing or feature engineering to be done on a given dataset - Defining data augmentation pipelines - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Deploying models to production - Proficiency with a deep learning framework - Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas - Expertise in visualizing and manipulating big datasets - Proficiency with OpenCV - Familiarity with Linux - Ability to select hardware to run an ML model with the required latency In addition to the responsibilities mentioned above, you will be responsible for designing, developing, automating, and maintaining software applications. This includes actively participating in all phases of the software development lifecycle (SDLC). This job requires an individual with a deep understanding of Python software development, data science, and machine learning concepts. Additionally, familiarity with popular Python frameworks, cloud platforms, and front-end development is essential. Your problem-solving skills, communication abilities, and experience in contributing to open-source projects further enhance your suitability for this role.,

As a Python Developer with 1.5 to 2 years of experience in Artificial Intelligence and Machine Learning, your role will involve the following: - Basic understanding of statistics, linear algebra, and calculus is required. - You should have a good understanding of data structures. - Proficiency in Python and experience working with statistical packages is essential. - Experience with working on big data sets for data extraction, data mining, visualization, and storytelling. - Comfortable working on both supervised and unsupervised machine learning problems. - Familiarity with specialized packages like NLTK for textual data and PIL, OpenCV for image data. - Hands-on experience with deep learning frameworks like TensorFlow. - Ability to work with text and/or image data. - Knowledge of distributed and parallel processing frameworks such as Spark. - Understanding of search platforms like Solr/Elastic Search. You should possess the required skills and qualifications to excel in this role, including a strong foundation in Python, data mining, and machine learning concepts.,

As a Data Scientist joining our US Startup, you will have the opportunity to work remotely from any location with an internet connection, avoiding long commutes and in-person meetings. If you are passionate about designing and building machine learning solutions using Python, gaining experience in a Startup environment, and are ready to work hard and play harder, this position is tailored for you. **Key Responsibilities:** - Conduct empirical research using public and proprietary data under the guidance of senior researchers - Perform data gathering, cleaning, data modeling, and maintenance of datasets - Prepare and test data using Python (ETL) on a daily basis - Develop dashboards, charts, and visual aids to facilitate decision-making - Utilize statistical techniques to derive analytic insights and recommendations - Conduct ad hoc quantitative analyses and modeling using Python and SQL - Diagnose and resolve issues in production - Collaborate with development teams to enhance the company's technology suite - Assess and prioritize client feature requests **Qualifications Required:** - Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) - Experience with ML libraries like Scikit-learn, caret, NLTK or spark MLlib - Proficiency in Python (Data Science stack) - Data Engineering experience/coursework and ability to integrate multiple data sources - Proficient in SQL, relational databases, and MS-Excel - Familiarity with data visualization tools such as Power BI, Tableau, etc. - Comfortable with UNIX Operating System - Knowledge of Docker and Git - Strong analytical, design, problem-solving, and troubleshooting skills - Ability to work independently in a home office without constant supervision **Additional Details:** - Candidates are required to complete a pre-screening behavioral assessment form as part of the application process. - The company has a zero-tolerance policy for plagiarism during the screening test. - Flexible hours and competitive stipend/salary are some of the benefits offered. If you are a highly quantitative individual who is reliable, independent, and enjoys collaboration, this is your chance to join a dynamic team where experimentation and innovation are encouraged. Please ensure to submit your assignment as a zip attachment via email to be considered for this exciting opportunity.,

Role Overview: As a member of Hitachi Solutions India Pvt Ltd, you will be responsible for developing and implementing generative AI models using deep learning techniques. You will work with a team of industry leaders in a dynamic and rewarding environment, collaborating on challenging projects across multiple industries. Your role will involve utilizing your expertise in Python, machine learning libraries, and cloud-based platforms to deliver innovative AI solutions. Additionally, you will contribute to enhancing the company's profitability and success through your problem-solving skills and proactive mindset. Key Responsibilities: - Develop and implement generative AI models, utilizing deep learning techniques such as GPT, VAE, and GANs - Utilize Python and machine learning libraries/frameworks like TensorFlow, PyTorch, or Keras - Demonstrate strong knowledge of data structures, algorithms, and software engineering principles - Work with cloud-based platforms and services such as AWS, GCP, or Azure - Apply natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face - Utilize data visualization tools/libraries such as Matplotlib, Seaborn, or Plotly - Follow software development methodologies like Agile or Scrum - Solve complex problems creatively and think critically to develop innovative AI solutions - Communicate technical concepts effectively to a diverse audience - Collaborate independently and within a team in a fast-paced, dynamic environment Qualifications: - Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field - Experience developing and implementing generative AI models with a strong understanding of deep learning techniques - Proficiency in Python and experience with machine learning libraries/frameworks - Strong knowledge of data structures, algorithms, and software engineering principles - Familiarity with cloud-based platforms and services - Experience with natural language processing (NLP) techniques and tools - Knowledge of data visualization tools/libraries - Understanding of software development methodologies - Excellent problem-solving skills and proactive mindset - Strong communication skills (Note: Additional information section omitted as it did not contain relevant details about the job role),

You will be a Python Intern at Turabit Solutions, a technology company dedicated to making IT easy for businesses to care for their customers. As part of the team, you will have the opportunity to work on AI-powered service smart AI bots that enhance customer and employee care. **Responsibility:** - Have knowledge of Object-Oriented Programming Language. - Write clean, scalable, and efficient code. - Possess adequate knowledge in Python, Machine Learning, with familiarity in at least one Python web framework such as Flask or Django. - Knowledge of MongoDB would be an advantage. - Proficient understanding of code versioning tools like Git. - Good understanding of Linux OS would be an advantage. - Knowledge of nltk, scikit, numpy would be an advantage. **Skills:** - Proficiency in CSS, HTML, Javascript, and MySQL. - Excellent analytical and multitasking skills. - Ability to work well in a team. - Excellent communication skills. - Self-motivated and driven. **Compensation & Benefits:** - Excellent Salary Structure. - Employee-friendly corporate work culture. - Exposure to interact with US people. - Fixed timings with Saturday and Sunday off. - Lucrative Rewards and Recognition. Turabit Solutions offers you the opportunity to grow and develop your skills in a supportive environment. If you are a full-time intern and ready to join as a full-time employee after the internship, your application will be considered. *Job Types: Full-time, Internship* *Contract length: 6 months* *Work Location: In person* You will be a Python Intern at Turabit Solutions, a technology company dedicated to making IT easy for businesses to care for their customers. As part of the team, you will have the opportunity to work on AI-powered service smart AI bots that enhance customer and employee care. **Responsibility:** - Have knowledge of Object-Oriented Programming Language. - Write clean, scalable, and efficient code. - Possess adequate knowledge in Python, Machine Learning, with familiarity in at least one Python web framework such as Flask or Django. - Knowledge of MongoDB would be an advantage. - Proficient understanding of code versioning tools like Git. - Good understanding of Linux OS would be an advantage. - Knowledge of nltk, scikit, numpy would be an advantage. **Skills:** - Proficiency in CSS, HTML, Javascript, and MySQL. - Excellent analytical and multitasking skills. - Ability to work well in a team. - Excellent communication skills. - Self-motivated and driven. **Compensation & Benefits:** - Excellent Salary Structure. - Employee-friendly corporate work culture. - Exposure to interact with US people. - Fixed timings with Saturday and Sunday off. - Lucrative Rewards and Recognition. Turabit Solutions offers you the opportunity to grow and develop your skills in a supportive environment. If you are a full-time intern and ready to join as a full-time employee after the internship, your application will be considered. *Job Types: Full-time, Internship* *Contract length: 6 months* *Work Location: In person*

As an innovative AI Programmer specializing in Large Language Models (LLMs) and document parsing, your role will involve developing and implementing AI solutions to enhance data accessibility from complex document structures. You will be responsible for designing and implementing algorithms to extract and process text and data from various document formats like PDF, Word, Excel, and images. Additionally, collaborating with cross-functional teams to integrate AI models into broader systems and applications will be a key aspect of your job. Key Responsibilities: - Develop, test, and deploy AI models, specifically large language models (LLMs), for natural language understanding and generation. - Design and implement algorithms for parsing various document formats (PDF, Word, Excel, images) to extract and process text and data. - Create systems for automated generation of summaries and responses based on content extracted from diverse document types. - Collaborate with cross-functional teams to integrate AI models into broader systems or applications. - Maintain and optimize existing AI models for performance and accuracy. - Stay updated with emerging trends and advancements in AI, machine learning, and document processing technologies. Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Please note that this job requires proficiency in advanced machine learning techniques, particularly in natural language processing (NLP) and understanding (NLU), along with a strong knowledge of LLMs like GPT-3, BERT, or similar frameworks. Expertise in Python programming, experience with deploying models in production environments, and familiarity with RESTful API development are also essential for this role. Additionally, knowledge of version control tools, CI/CD practices, data structures, algorithms, and software engineering principles will be beneficial in fulfilling your responsibilities effectively.,

As a Senior Data Scientist with Deep Learning experience, your role will involve designing, building, and deploying advanced machine learning models for real-world applications. You will collaborate with research, product, and engineering teams to deliver impactful AI-driven solutions. Your expertise in Deep Learning, NLP, and traditional ML will be essential in the following key responsibilities: - Design, develop, test, and deploy machine learning and deep learning models using state-of-the-art algorithms. - Develop state-of-the-art deep learning models for audio projects. - Research and experiment with deep learning architectures (CNNs, RNNs, LSTMs, Transformers, etc.) for structured and unstructured data. - Work on end-to-end AI/ML solutions including data acquisition, feature engineering, model development, and deployment. - Build and improve reusable model pipelines, frameworks, and data processing tools. - Define and enforce best practices for Machine Learning and MLOps, including model versioning, testing, and deployment. - Collaborate closely with product managers and business stakeholders to translate data-driven insights into actionable strategies. - Mentor junior team members and promote knowledge sharing across teams. Qualifications required for this role include: - Experience: 5-8 years in Data Science or Machine Learning with hands-on deep learning expertise. - Strong knowledge of machine learning algorithms, optimization techniques, and statistical modeling. - Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras. - Strong understanding of neural networks, CNNs, LSTMs, transformers, and other deep learning architectures. - Experience using Python and ML/NLP libraries such as SpaCy, NLTK, Gensim, CoreNLP, and OpenNLP. - Familiarity with data preprocessing techniques and tools for audio data. - MLOps & Deployment: Familiarity with Flask/FastAPI, Docker, and cloud environments (AWS, GCP, or Azure) for deploying models. - Data & Visualization: Proficient with Pandas, NumPy, Scikit-learn, and visualization tools such as Matplotlib or Plotly. - Soft Skills: Excellent communication and storytelling skills with the ability to present complex results clearly. Proven ability to work collaboratively in cross-functional teams. Strong problem-solving skills and initiative in driving innovation.,

Role Overview: As a Machine Learning Engineer in this role, you will be responsible for developing, training, and deploying machine learning and deep learning AI models for various business use cases. You will design and implement end-to-end ML workflows, collect and preprocess data, perform exploratory data analysis, apply advanced machine learning algorithms, and optimize model architectures using frameworks such as Azure ML Studio, TensorFlow, and PyTorch. Additionally, you will integrate models into business applications, build scalable ML components and pipelines, enforce AI guardrails, deploy models in production, monitor model performance, collaborate with cross-functional teams, and stay up-to-date with the latest AI/ML advancements. Key Responsibilities: - Develop, train, and deploy machine learning, deep learning AI models for business use cases. - Design and implement end-to-end ML workflows from data ingestion to model deployment. - Collect, clean, and preprocess structured and unstructured data from multiple sources. - Perform exploratory data analysis to identify patterns and actionable insights. - Apply advanced machine learning algorithms and optimize model architectures. - Integrate models into business applications through RESTful APIs. - Build and maintain scalable ML components and pipelines. - Enforce AI guardrails and integrate bias mitigation and security practices. - Deploy models in production using Docker and Kubernetes. - Utilize Azure AI services and infrastructure for development and training. - Monitor deployed models for drift, performance degradation, and data quality issues. - Collaborate with cross-functional teams to deliver AI-driven solutions. - Communicate complex ML concepts and technical findings to stakeholders. - Stay current with the latest AI/ML research and trends. - Maintain documentation of data pipelines, model architectures, and experiment results. - Write modular, maintainable, and production-ready code in Python. - Contribute to building reusable ML components and accelerators. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field with over 7+ years of experience. - Proven experience as a Data Scientist, ML Developer, or in a similar role. - Strong command of Python and ML libraries. - Experience with ETL/ELT pipelines, data ingestion, and transformation. - Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Proficiency in programming languages like Python, R, or SQL. - Hands-on experience with CI/CD pipelines, model monitoring, and version control. - Familiarity with cloud platforms, deployment tools, and DevOps practices. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills for effective teamwork. Preferred Qualifications: - Proficiency in Python with libraries like pandas, NumPy, scikit-learn, spacy, NLTK, TensorFlow, PyTorch. - Knowledge of NLP and computer vision techniques. - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Familiarity with marketing analytics, attribution modeling, and A/B testing. - Hands-on MLOps experience with CI/CD processes. - Experience with big data technologies such as Hadoop and Spark. (Note: No additional details of the company were provided in the job description.),

You will be working as a Senior Data Scientist specializing in NLP and ML at DIGITAP.AI, a cutting-edge provider of AI/ML solutions for modern, internet-driven businesses. Your role will involve leading the design, development, and optimization of advanced AI applications with a focus on NLP and LLMs. Some of your key responsibilities will include building and deploying advanced NLP models, exploring and optimizing pre-trained LLMs, developing ML models for credit scoring and risk analytics, analyzing and processing unstructured text data, collaborating with engineering teams for product integration, staying updated on NLP and ML advancements, mentoring junior team members, and collaborating across data, product, and engineering groups. Key Responsibilities: - Build, fine-tune, and deploy advanced NLP models for text classification, document analysis, entity recognition, and sentiment analysis. - Explore, adapt, and optimize pre-trained LLMs like OpenAI, Hugging Face, and Llama. - Develop ML models for credit scoring, scorecard generation, and risk analytics. - Analyze and preprocess unstructured text data using tokenization, language normalization, embeddings, and vectorization. - Collaborate with engineering/product teams for NLP/ML/LLM solutions integration into real-world products. - Stay updated on NLP, ML, and generative AI advancements and translate research breakthroughs into practical applications. - Guide and mentor junior team members and collaborate across different teams within the organization. Required Skills & Experience: - 3-4 years of experience as a data scientist, NLP engineer, or ML specialist with hands-on experience in NLP and LLMs. - Proven expertise in NLP tasks and deep learning, especially with transformer architectures. - Experience with LLMs like GPT, Llama, and BERT. - Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and Keras. - Familiarity with libraries like NLTK, spaCy, scikit-learn, NumPy, pandas, and OpenAI API. - Proficient in SQL/NoSQL databases and RESTful API development/integration. - Strong analytical, debugging, and problem-solving skills for real-world ML/NLP challenges. - Hands-on expertise in text processing using regular expressions. Preferred Qualifications: - BE/BTech/ME/MTech/MCA in Computer Science or related field. - Genuine interest in ongoing research and upskilling in AI, ML, GenAI, and computer vision. - Bonus skills in computer vision and multimodal models. It is recommended to have skills in MACHINE LEARNING, NATURAL LANGUAGE PROCESSING, LARGE LANGUAGE MODELS, PYTHON, PYTORCH, TENSORFLOW, HUGGING FACE TRANSFORMERS, KERAS, NLTK, SPACY, SCIKIT-LEARN, PANDAS, OPENAI API, SQL, NOSQL, API INTEGRATION, RESTFUL APIS, PROBLEM-SOLVING, and COMPUTER VISION. You will be working as a Senior Data Scientist specializing in NLP and ML at DIGITAP.AI, a cutting-edge provider of AI/ML solutions for modern, internet-driven businesses. Your role will involve leading the design, development, and optimization of advanced AI applications with a focus on NLP and LLMs. Some of your key responsibilities will include building and deploying advanced NLP models, exploring and optimizing pre-trained LLMs, developing ML models for credit scoring and risk analytics, analyzing and processing unstructured text data, collaborating with engineering teams for product integration, staying updated on NLP and ML advancements, mentoring junior team members, and collaborating across data, product, and engineering groups. Key Responsibilities: - Build, fine-tune, and deploy advanced NLP models for text classification, document analysis, entity recognition, and sentiment analysis. - Explore, adapt, and optimize pre-trained LLMs like OpenAI, Hugging Face, and Llama. - Develop ML models for credit scoring, scorecard generation, and risk analytics. - Analyze and preprocess unstructured text data using tokenization, language normalization, embeddings, and vectorization. - Collaborate with engineering/product teams for NLP/ML/LLM solutions integration into real-world products. - Stay updated on NLP, ML, and generative AI advancements and translate research breakthroughs into practical applications. - Guide and mentor junior team members and collaborate across different teams within the organization. Required Skills & Experience: - 3-4 years of experience as a data scientist, NLP engineer, or ML specialist with hands-on experience in NLP and LLMs. - Proven expertise in NLP tasks and deep learning, especially with transformer architectures. - Experience with LLMs like GPT, Llama, and BERT. - Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and Keras. - Familiarity with libraries like NLTK, spaCy, scikit-learn, NumPy, pandas, and OpenAI API. - Proficient in SQL/NoSQL databases and RESTful API development/integration. - Strong analytical, debugging, and problem-solving skills for real-world ML/NLP challenges.