5 Matplotlib Jobs nearby Mount Abu

As a Quant Developer (Python) for Alphinion Capital, you will be involved in building systematic/algorithmic trading strategies for Indian capital markets. You will play a key role in enhancing the in-house trading stack by working on both the backend (data/infra) and frontend (dashboards/apps). **Key Responsibilities:** - Build and maintain data pipelines for time-series market data such as equities, F&O minute bars, and ticks. - Create tools for research, backtesting, and live trading while assisting in automating existing processes. - Develop interactive dashboards using Dash/Streamlit for monitoring, analytics, and execution. - Implement and enhance best-execution and risk/position management functions. - Collaborate with the team on strategy prototyping, validation, and deployment. **Qualifications Required:** - Strong fundamentals in Python with expertise in the scientific stack including NumPy, SciPy, scikit-learn, and Pandas. - Proficiency in visualization/app frameworks like Plotly, Matplotlib, Dash, and/or Streamlit. - Solid understanding of time-series data, data wrangling, and capital-market datasets. - Clear coding practices, familiarity with Git, curiosity, and a fast learning mindset. **Nice to have:** - Experience with backtesting frameworks, paper/live trading, or exchange/broker APIs. - Knowledge of derivatives, Greek, market microstructure, SQL/NoSQL, Linux, Docker, and task queues/schedulers. - Skills in Stats/ML for forecasting, feature selection, and model evaluation. Alphinion Capital offers you the opportunity to work on a production trading system with a real impact. You will receive a fixed salary along with a high-performance bonus. Join a small, focused team where you can take ownership and have ample learning opportunities. This full-time position is based onsite in Jaipur. Interested candidates should be in Jaipur or willing to relocate. To apply, please submit your resume along with information on your years of hands-on Python experience, any analyst/research experience, availability to relocate to Jaipur (if applicable), and your earliest start date. Keywords: Python, NumPy, SciPy, scikit-learn, Pandas, Plotly, Matplotlib, Dash, Streamlit, Time-Series, NSE, BSE, F&O, Options, Futures, Backtesting, Algorithmic Trading, Quant Research, Jaipur, Onsite.,

As a skilled Data Analyst with Power BI expertise, your primary role will involve designing, developing, and managing business intelligence solutions to provide actionable insights. Working closely with stakeholders, you will translate business requirements into technical BI solutions and create interactive dashboards and reports using Power BI. Key Responsibilities: - Understand business requirements and translate them into technical BI solutions - Design and develop Power BI dashboards, reports, and datasets - Optimize data models for performance and scalability - Utilize Python scripts within Power BI for advanced data manipulation, forecasting, and automation - Integrate data from multiple sources such as SQL, Excel, and APIs - Work with DAX and Power Query for data transformation and calculations - Collaborate with data engineers and business analysts to ensure data accuracy - Maintain and support existing BI solutions and troubleshoot issues - Stay current on Power BI updates and best practices Requirements: - Proven experience as a Power BI Developer or in a similar BI role - Strong expertise in Power BI Desktop, Service, and Gateway - Proficiency in DAX, Power Query (M language), and data modeling - Good understanding of SQL and relational databases - Proficiency in Python (pandas, numpy, matplotlib/seaborn or similar libraries) - Analytical thinking and strong problem-solving skills - Good communication skills to interact with business and tech teams It would be beneficial to have: - Microsoft Power BI certification - Experience with large data sets and performance tuning - Familiarity with any of public cloud Azure/Google/AWS,

As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop APIs and deploy models using Flask, FastAPI, or similar technologies - Work with MLOps tools like MLflow, Kubeflow, DVC, and Airflow - Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML - Proficiency in version control (Git), CI/CD processes, and containerization with Docker - Bonus skills include knowledge of NLP frameworks, computer vision experience, Reinforcement Learning, Generative AI, vector databases, and LangChain for AI agent building - Familiarity with data labeling platforms and annotation workflows **Qualifications Required:** - Bachelors or Masters in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field - Analytical mindset with strong problem-solving skills - Excellent communication and collaboration abilities - Ability to work independently in a fast-paced, agile environment - Passion for AI/ML and eagerness to stay updated with the latest developments Please note that the above description provides a comprehensive overview of the AI/ML Engineer role, including the required qualifications and key responsibilities. As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop APIs and deploy models using Flask, FastAPI, or similar technologies - Work with MLOps tools like MLflow, Kubeflow, DVC, and Airflow - Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML - Proficiency in version control (Git), CI/CD processes, and containerization with Docker - Bonus skills include knowledge of NLP frameworks, computer vision experience, Reinforcement Learning, Generative AI, vector databases, and LangChain for AI agent building - Familiarity with data labeling platforms and annotation workflows **Qualifications Required:** - Bachelors or Masters in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field - Analytical mindset with strong problem-solving skills - Excellent communication and collaboration abilities - Ability to work independently in a fast-paced, agile environment - Passion for AI/ML and eagerness to stay updated with the latest developments Please note that the above description provides a comprehensive overview of the AI/ML Engineer role, including the required qualifications and key responsibilities.

As a Full Stack Developer AI/ML with 0-1 year of experience, you will be joining an innovative team based in Jodhpur. Your role will involve working on AI-powered applications, developing and deploying ML models, and integrating them into full-stack web solutions. Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks. - Develop RESTful APIs to integrate AI models with web applications. - Implement and maintain backend services using Node.js, FastAPI, or Flask. - Build and enhance frontend UIs using React.js, Vue.js, or Angular. - Manage databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. - Optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Work on data preprocessing, feature engineering, and model evaluation. - Deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). - Collaborate with cross-functional teams for AI integration into business applications. Required Skills & Qualifications: - 0-1 year of experience in AI/ML and full-stack development. - Strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy. - Experience with backend development (Node.js, FastAPI, Flask, or Django). - Knowledge of frontend frameworks (React.js, Vue.js, or Angular). - Familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase). - Understanding of machine learning workflows, model training, and deployment. - Experience with cloud services (AWS SageMaker, Google AI, Azure ML). - Knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models. - Basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning. - Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, D3.js). - Strong problem-solving and analytical skills. - Good communication and teamwork skills. Preferred Qualifications: - Experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face). - Knowledge of MLOps, model monitoring, and retraining pipelines. - Understanding of Reinforcement Learning (RL) and Generative AI. - Familiarity with Edge AI and IoT integrations. - Previous internship or project experience in AI/ML applications. In addition to the above, the company offers competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

Role Overview: You will be joining Kainskep Solutions as a Data Scientist where you will be responsible for utilizing programming languages such as Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks. Your role will involve developing supervised and unsupervised machine learning models, conducting data manipulation and visualization, and performing exploratory data analysis. Additionally, you will be expected to familiarize yourself with big data technologies and manage relational and NoSQL databases for data storage and retrieval. Being part of a diverse and inclusive team, you will collaborate with colleagues using version control systems for collaborative development. Key Responsibilities: - Use programming languages like Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks. - Apply fundamental statistical concepts such as mean, median, variance, probability distributions, and hypothesis testing to analyze data. - Develop supervised and unsupervised machine learning models, including classification, regression, clustering, and dimensionality reduction techniques. - Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score, implementing cross-validation techniques to ensure reliability. - Conduct data manipulation and visualization using libraries such as Pandas, Matplotlib, Seaborn, and ggplot2, implementing data cleaning techniques to handle missing values and outliers. - Perform exploratory data analysis, feature engineering, and data mining tasks including text mining, natural language processing (NLP), and web scraping. - Familiarize yourself with big data technologies such as Apache Spark and Hadoop, understanding distributed computing concepts to handle large-scale datasets effectively. - Manage relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for data storage and retrieval. - Use version control systems like Git and GitHub/GitLab for collaborative development, understanding branching, merging, and versioning workflows. - Demonstrate basic knowledge of the software development lifecycle, Agile methodologies, algorithms, and data structures. Qualifications Required: - Bachelors degree or higher in Computer Science, Statistics, Mathematics, or a related field. - Proficiency in programming languages such as Python, R, and SQL. - Strong analytical skills and a passion for working with data. - Ability to learn quickly and adapt to new technologies and methodologies. - Prior experience with data analysis, machine learning, or related fields is a plus. Additional Company Details: At Kainskep Solutions, we prioritize creating a diverse and inclusive work environment where team members are encouraged to collaborate, innovate, take ownership, and face challenges together. Our values of #TeamMember, #Ownership, #Innovation, #Challenge, and #Collaboration guide our interactions and decision-making processes. If you believe in these values and are passionate about leveraging data science to drive insights and solutions, we would love to have you join our team. (Note: The above additional details were extracted from the job description for a comprehensive understanding of the company culture and values.),

Role Overview: You are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Key Responsibilities: - Analyze and process large datasets using Python and Pandas. - Develop and optimize machine learning models for predictive analytics. - Create data visualizations using Matplotlib and Seaborn to support decision-making. - Perform data cleaning, feature engineering, and statistical analysis. - Work with structured and unstructured data to extract meaningful insights. - Implement and fine-tune NER models for specific use cases (if required). - Collaborate with cross-functional teams to drive data-driven solutions. Qualifications: - 1-3 years of professional experience - Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). - Experience in data analysis, statistical modeling, and machine learning. - Hands-on expertise in data visualization using Matplotlib and Seaborn. - Understanding of SQL and database querying. - Familiarity with NLP techniques and NER models is a plus. (Note: No additional details of the company were provided in the job description) Role Overview: You are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Key Responsibilities: - Analyze and process large datasets using Python and Pandas. - Develop and optimize machine learning models for predictive analytics. - Create data visualizations using Matplotlib and Seaborn to support decision-making. - Perform data cleaning, feature engineering, and statistical analysis. - Work with structured and unstructured data to extract meaningful insights. - Implement and fine-tune NER models for specific use cases (if required). - Collaborate with cross-functional teams to drive data-driven solutions. Qualifications: - 1-3 years of professional experience - Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). - Experience in data analysis, statistical modeling, and machine learning. - Hands-on expertise in data visualization using Matplotlib and Seaborn. - Understanding of SQL and database querying. - Familiarity with NLP techniques and NER models is a plus. (Note: No additional details of the company were provided in the job description)

As a Senior Data Scientist at the company, you will play a crucial role in leading data-driven projects and providing actionable insights through advanced analytics techniques. Your responsibilities will include: - Designing and executing data science projects that align with business objectives - Collecting and preparing data from various sources - Developing statistical models and machine learning algorithms to solve complex business problems To excel in this role, you should have: - A Master's degree or higher in data science, statistics, computer science, or a related field - Proficiency in R or Python, with a preference for R, for data modeling and analysis - Strong knowledge of SQL for data extraction and transformation - Hands-on experience with machine learning models and statistical techniques - Ability to translate complex data findings into actionable business strategies Additionally, your role will involve: - Mentoring junior staff - Ensuring quality output - Monitoring model performance - Refining approaches for increased accuracy - Collaboration with cross-functional teams - Staying updated with advancements in data science - Applying new methods to projects Your expertise in ethical data practices, data governance, data visualization tools like Tableau, Power BI, or Matplotlib, and cloud platforms such as AWS, Azure, or Google Cloud will be valuable assets in successfully fulfilling your responsibilities. If you are a highly analytical and strategic professional with excellent communication skills, a passion for data science, and a commitment to quality and information security standards, we encourage you to apply for this exciting opportunity. Join us in driving innovation and making a difference in the field of data science. Thank you for considering a career with us. We look forward to reviewing your application and potentially welcoming you to our team soon!,

Role Overview: You will be the Lead Trainer for the AI & Data Analytics program at the CSR backed AI/ML Learning Lab. Your primary responsibility will be conducting full-time weekday classes to educate underprivileged youth and community learners in Artificial Intelligence, Machine Learning, Python, Data Analytics, and related tools. Your role involves shaping students into job-ready AI/ML talent by delivering interactive sessions, providing mentorship, evaluating performance, and maintaining high-quality training standards in alignment with industry requirements. Key Responsibilities: - Conduct full-time weekday classes on AI, ML, Python, Data Analytics, and related tools. - Design and deliver lectures, practical sessions, hands-on labs, and assessments. - Ensure training content remains updated, industry-relevant, and easy to comprehend. - Provide mentorship and doubt-clearing support to students. - Prepare lesson plans, assignments, quizzes, and project guidelines. - Evaluate student progress through tests, projects, and performance reviews. - Support the Centre In-Charge in documentation, reporting, and training audits. - Maintain discipline, class engagement, and a positive learning environment. - Assist in mobilization and student selection when required. - Participate in faculty meetings, workshops, and upskilling sessions. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - Strong knowledge of Python, Machine Learning basics, Data Analytics, NumPy, Pandas, Visualization tools (Matplotlib, Power BI/Tableau preferred). - Minimum 2+ years of teaching/training experience in AI, Data Analytics, or related domain. - Excellent communication and classroom management skills. - Ability to explain complex concepts in simple, beginner-friendly language. - Passion for teaching and uplifting underprivileged learners. Additional Details: N/A,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include: - Analyzing ecommerce clickstream data to understand user journeys and optimize website performance - Investigating user behavior patterns to enhance customer interactions - Utilizing SQL and Python to extract and manipulate large datasets from our data warehouse - Creating insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have: - A Bachelor's degree in a quantitative field - At least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics - Hands-on experience with Adobe Analytics - Strong proficiency in SQL - Solid programming skills in Python - Experience with cloudbased data warehouses and data visualization tools - Strong analytical and problem-solving skills - Excellent communication and presentation skills - The ability to work independently and collaboratively in a fast-paced environment - A passion for data science and ecommerce **Note:** Key Skills required for this role include Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, and Teamwork. Mandatory Skills for this role include Data Science and E-commerce.,

Role Overview: As a Data Scientist at GlobalLogic, you will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics and decision support, working with product teams to understand requirements and develop data-driven solutions, translating business requirements into machine learning tasks, creating visualizations to communicate model results to non-technical stakeholders, and staying up-to-date with emerging AI/ML techniques and tools. Key Responsibilities: - Analyze large financial datasets to identify trends and patterns. - Develop and deploy machine learning models for predictive analytics and decision support. - Work with product teams to understand requirements and develop data-driven solutions. - Translate business requirements into machine learning tasks. - Create visualizations to communicate model results to non-technical stakeholders. - Stay up-to-date with emerging AI/ML techniques and tools. Qualification Required: - 6+ years of experience in data science, preferably in the finance industry. - Strong proficiency in Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow). - Experience in statistical analysis, data modeling, and deep learning. - Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). - Strong communication skills for presenting findings to stakeholders. At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility in work-life integration, and be part of a high-trust organization. Join GlobalLogic, a trusted digital engineering partner, and contribute to transforming businesses and redefining industries through intelligent products, platforms, and services.,

You are required to work as a Data Scientist - AI/ML Engineer at Sector 5, Kolkata with a minimum of 2+ years of experience and a salary of up to 50k. Your role will involve designing, developing, and deploying data-driven solutions using your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Python. **Key Responsibilities:** - Proficiency in Python and libraries like pandas, NumPy, scikit-learn, matplotlib, seaborn. - Strong understanding of machine learning algorithms, deep learning, and statistical modeling. - Experience with TensorFlow, Keras, or PyTorch. - Solid knowledge of SQL and experience working with relational and NoSQL databases. - Familiarity with API development, data pipelines, and cloud platforms (AWS, Azure, GCP). - Strong problem-solving, analytical, and communication skills. **Qualifications Required:** - Masters or Bachelors degree in Computer Science, Data Science, Statistics, Engineering, or a related field. - Experience with MLOps tools (MLflow, Kubeflow, Airflow). - Exposure to LLMs, Generative AI, or Natural Language Processing projects. - Knowledge of Docker and containerized deployment of ML models. The job type is full-time with benefits including health insurance and Provident Fund. Additionally, you should be open to working near Sector 5 and willing to disclose your last salary. Your experience in Data science, Machine learning, and AWS will be preferred. This position requires you to work in person at the designated location.,

As an Intern - Data Analyst at Airbus Innovation Center - India & South Asia, you will be responsible for industrializing disruptive technologies by leveraging engineering competencies and external ecosystems. The Innovation Center focuses on technology areas such as decarbonization, artificial intelligence, industrial automation, unmanned air systems, Connectivity, Space Tech, Autonomy, among others. Your main responsibilities will include: - Assisting in collecting, cleaning, and organizing large datasets from various sources. - Conducting exploratory data analysis to identify patterns, trends, and insights. - Contributing to the training, fine-tuning, and evaluation of machine learning and computer vision models. - Supporting the development and implementation of data models and algorithms. - Collaborating with team members to visualize data and present findings effectively. - Aiding in the creation of reports and presentations based on analytical findings. - Contributing to the optimization of data processes and workflows. - Documenting your work, including code, experiments, and findings. - Staying updated with industry trends and emerging technologies in data analytics. Qualifications: - Students in 3rd or 4th year engineering, 3rd year bachelors, masters in computer science, or related field. - Proficiency in programming languages such as Python, R, or SQL. - Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Tableau). - GitHub profile of projects developed. - Participation in AI-based challenges such as Kaggle with good ranking preferred. - Experience or projects with computer vision and 3-D vision will be an added advantage. - Working knowledge of full stack programming is an advantage. Required Soft Skills: - Interpersonal communication. - Strong analytical mindset. - Problem-solving mindset. - Keen attention to detail. - Team player. - Creativity. - Adaptability. - Reliability. - Organizational skills. - Flexibility to handle different responsibilities. This job requires awareness of potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation, and sustainable growth. By submitting your CV or application, you consent to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. At Airbus, equal opportunities for all are guaranteed, and no monetary exchange will be requested during the recruitment process. Any impersonation of Airbus for such requests should be reported. Airbus supports flexible working arrangements to stimulate innovative thinking and collaboration.,

As a member of the data science team, you will have the opportunity to work on cutting-edge analytics technologies, develop predictive models, and contribute to data-driven decision making. The role focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts. Key Responsibilities: - Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks. - Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications. - Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries. - Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights. - Build and deploy predictive analytics models to support business strategy and operational optimization. - Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations. - Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling. Qualifications Required: Must-Haves: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates). - Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks. - Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics. - Knowledge of SQL for database querying and data manipulation from various data sources. - Experience with data visualization tools and techniques for creating meaningful insights from complex datasets. Nice-to-Haves: - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications. - Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing. - Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing. - Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications. - Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities.,

As an AI/ML Intern at our company, your responsibilities will include: - Assisting in building and training machine learning and deep learning models. - Preprocessing, cleaning, and analyzing structured and unstructured data. - Conducting experiments using popular ML libraries and frameworks. - Supporting the team in model evaluation, optimization, and deployment. - Creating and maintaining documentation for models, code, and results. - Collaborating with cross-functional teams to integrate ML models into applications. To qualify for this role, you should have: - A basic understanding of Python and libraries like NumPy, Pandas, Matplotlib, etc. - Familiarity with machine learning algorithms such as regression, classification, and clustering. - Hands-on experience with scikit-learn, TensorFlow, or PyTorch (beginner level acceptable). - Knowledge of data preprocessing techniques and model evaluation metrics. - Strong analytical and problem-solving skills. - Eagerness to learn and apply AI/ML concepts to practical use cases. Bonus Skills (Nice to Have): - Experience with NLP, Computer Vision, or Time Series Analysis. - Familiarity with Jupyter Notebooks, Google Colab, or Kaggle. - Exposure to ML Ops, model deployment, or cloud platforms (AWS/GCP/Azure). - Participation in AI/ML competitions or academic projects. This is a full-time position located in person.,

As a Senior Engineer/Lead Senior Engineer in Data Analytics and ML Model Development, you will be part of a dedicated team that applies cutting-edge AI and ML technologies to address complex challenges in chip design, qualification, and debug engineering processes. The primary goal is to improve engineering efficiency by implementing intelligent automation, leveraging data-driven insights, and creating innovative tools. **Key Responsibilities:** - Design and implement comprehensive data analytics workflows tailored for semiconductor engineering applications. - Develop, train, and optimize ML models using various techniques including supervised, unsupervised, and deep learning. - Conduct feature engineering, model evaluation, and hyperparameter tuning to enhance model performance. - Build scalable data pipelines for ingestion and transformation using Python and cloud-native tools. - Utilize statistical analysis and visualization methods to extract valuable insights from extensive datasets. - Perform time series analysis employing techniques like ANOVA and other statistical methods. - Explore GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and offer technical guidance to internal teams. **Qualifications Required:** - Master's degree in Computer Science, Data Science, or a related field. - Proficient in programming with Python or C++. - Strong grasp of data structures, algorithms, and software design principles. - Excellent analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques. - Familiarity with deep neural network architectures such as RNNs and Transformers. - Proficiency with ML frameworks like scikit-learn, TensorFlow, or PyTorch. - Knowledge in GenAI, LLMs, and RAG Optimization, as well as LLM Finetuning and Distillation. - Skilled in data analysis using Pandas, NumPy, and Matplotlib. - Understanding of statistical analysis, visualization, feature engineering, and model evaluation. - Knowledge of GPU, CUDA, and high-performance computing frameworks and methods. **Additional Company Details:** The company offers benefits such as food provision, health insurance, internet reimbursement, life insurance, paid time off, and provident fund. This is a full-time, permanent position requiring in-person work. Ensure you have a Master's degree in Computer Science, Data Science, or a related field with at least 2 years of experience in machine learning. If you have a Ph.D. or extensive experience in large model development and training from scratch, familiarity with time series analysis, SQL databases, ETL frameworks, cloud platforms, LLM integration frameworks, distributed computing, and cloud-scale data processing, it would be considered a plus. Join our team to contribute to the advancement of chip design and engineering processes through innovative data analytics and machine learning solutions.,

As a Python Developer (AI / ML & AI Agent) in Rajkot (On Site) on a full-time basis, you will be responsible for contributing to the development of AI-based solutions and working on cutting-edge AI projects. This role offers you the opportunity to learn and grow in the field of AI, ML, and AI Agent-based applications. Key Responsibilities: - Assist in developing AI-based solutions such as chatbots, AI analytics dashboards, and intelligent agents. - Write clean, scalable, and efficient Python code. - Build and integrate AI agents and chatbots using frameworks like LangChain, Rasa, or OpenAI APIs. - Work on ML model training, evaluation, and deployment. - Design and implement AI charts, dashboards, and data visualization for insights. - Collaborate with cross-functional teams to understand project requirements and deliver solutions. - Debug, troubleshoot, and optimize code for AI-based applications. Required Skills & Qualifications: - Strong logical and analytical thinking. - Good communication and collaboration skills. - Quick learner with a strong willingness to upskill. - Strong Python programming skills (loops, OOP, libraries). - Basic understanding of Artificial Intelligence and Machine Learning concepts. - Familiarity with libraries such as NumPy, Pandas, Matplotlib, scikit-learn, or TensorFlow/PyTorch (basic level). - Understanding of APIs and how to integrate them. - Knowledge of chatbot development tools or frameworks is a plus (e.g., Rasa, LangChain, OpenAI API). - Strong problem-solving and analytical skills. - Eagerness to learn new AI technologies and tools. Preferred (But Not Mandatory): - Knowledge of chatbot frameworks (e.g., Rasa, LangChain, Dialogflow). - Experience with AI data visualization tools or dashboard development. - Awareness of Natural Language Processing (NLP) concepts. In addition to the above, the company provides the following perks and benefits: - Hands-on training and certification courses in AI/ML. - Opportunity to work on real-world AI projects from scratch. - Competitive fresher salary package with increment opportunities based on performance. - Opportunity to work on cutting-edge AI projects from day one. - Training and mentorship from experienced professionals. - Career growth in the AI and Machine Learning domain. - Friendly and collaborative work environment.,

As a Data Analytics Intern at Logical Soft Tech Pvt. Ltd., you will have the opportunity to kickstart your career in Data Analytics by working on real-world projects under the guidance of our expert team. You will gain hands-on experience in analyzing datasets, creating reports and dashboards, and providing valuable insights for decision-making. Key Responsibilities: - Collect, clean, and analyze datasets to extract meaningful information - Create reports and dashboards using tools like Excel, Power BI, or Tableau - Utilize SQL and Python for data analysis and manipulation - Provide actionable insights to support business decisions - Research and apply analytical techniques to solve complex problems Qualifications Required: - Basic knowledge of Excel, SQL, and Python (Pandas, NumPy, Matplotlib) - Understanding of data cleaning and visualization techniques - Strong analytical and problem-solving skills - Eagerness to learn and contribute to data-driven decision-making processes If you are experienced and interested in this opportunity, please consider applying for this Data Analytics Intern position at Logical Soft Tech Pvt. Ltd. For freshers, we also offer an Internship program to help you kickstart your career in Data Analytics. Company Details: Logical Soft Tech Pvt. Ltd. is located at 2nd Floor, 388, PU4, Scheme 54 PU4, next to Krozzon Hotel, 2nd gate Opp. Eye Retina Hospital, Vijay Nagar, Indore. You can reach out to our HR team at +91-7869731595, +91-7415950919, or +91-8269829729 for any queries or to apply for the position. Don't forget to check out our social media profiles: - Instagram: [logical_softtech](https://www.instagram.com/logical_softtech/) - YouTube: [LogicalSoftTechITProgram](https://www.youtube.com/@LogicalSoftTechITProgram) - Facebook: [Logical Soft Tech Pvt. Ltd.](https://www.facebook.com/profile.php id=100088974855016) Job Types: Part-time, Fresher, Internship Contract Length: 3 months Expected Hours: 40 per week Work Location: In person,

As a Senior Data Scientist at Deutsche India, you will be a part of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through process automation and AI innovation. Your role will involve working on the full lifecycle of data science projects, from strategic problem framing and data acquisition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify transformative opportunities for data-driven and AI-powered solutions. **Key Responsibilities:** - **Strategic Problem Framing & Generative AI Opportunity Identification:** - Define and frame complex business problems into actionable data science questions. - Identify opportunities for Generative AI, LLMs, and Agentic AI to deliver business value. - **Advanced Data Management & Preparation:** - Oversee data acquisition, cleaning, and preprocessing of large datasets. - Ensure high data quality and readiness for ML and Generative AI applications. - **Statistical Foundation & Data Understanding:** - Apply statistical understanding to analyze and interpret data for robust insights. - Conduct exploratory data analysis to identify trends and formulate hypotheses. - **Cutting-Edge Algorithm & Generative Model Development:** - Drive research and implementation of ML algorithms, with a focus on Transformer architectures. - Develop and evaluate advanced ML and Generative AI models to solve business problems. - **Experimentation & Impact Measurement:** - Design and execute experiments to measure the impact of data-driven and Generative AI solutions. - **Effective Communication & MLOps Collaboration:** - Communicate analytical findings and recommendations to diverse audiences. - Collaborate with engineering teams for model deployment and monitoring. **Qualifications Required:** - **Educational Background:** - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, or related fields. - **Professional Expertise:** - 8+ years of experience in a data scientist role. - **Technical Skills:** - Proficiency in Python, SQL, data analysis, and EDA. - Deep knowledge of statistical concepts and machine learning algorithms. - Specialization in Generative AI, LLMs, Transformer architectures, and MLOps. - Experience with data visualization tools and cloud platforms. Deutsche Bank offers a range of benefits, including leave policies, childcare assistance, industry certifications sponsorship, and comprehensive insurance coverage. As part of a culture of continuous learning and collaboration, you will have access to training, coaching, and support to excel in your career. The company promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. For more information about Deutsche Bank and its values, please visit the company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html).,

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 Data Analyst Intern at Inlighnx Global, you will be responsible for analyzing diverse datasets, creating dashboards, conducting exploratory data analysis, and supporting data-driven decisions. This internship will help you develop strong analytical thinking skills and provide hands-on experience with industry-standard tools. Key Responsibilities: - Collect, clean, and organize data from various sources. - Perform Exploratory Data Analysis (EDA) to uncover patterns and insights. - Build dashboards and data visualizations using tools like Power BI, Tableau, or Python. - Write SQL queries to extract and manipulate data. - Prepare reports and presentations to communicate insights clearly. - Collaborate with the team on data-driven projects and deliverables. Qualifications Required: - Currently enrolled in or recently graduated from a relevant program such as Data Science, Computer Science, Statistics, IT, or related disciplines. - Strong knowledge of MS Excel, including Pivot Tables, VLOOKUP, and Charts. - Familiarity with SQL for querying databases. - Basic understanding of Python libraries like Pandas, NumPy, and Matplotlib is a plus. - Interest in data visualization and analytics tools. - Strong communication skills, analytical thinking, and attention to detail. Inlighnx Global offers students and graduates a platform to gain real-world data analytics experience. The internship focuses on helping individuals strengthen their skills in data cleaning, visualization, report building, and insight generation using modern tools and industry practices. Benefits of this internship include a stipend ranging from 7,500 to 15,000 (performance-based), hands-on experience with real-world analytics projects, a Certificate of Internship, a Letter of Recommendation, and the opportunity to build a strong portfolio with dashboards, reports, and EDA case studies. You will also gain learning exposure to industry-standard tools and best practices. For more information about the company, you can visit their website at [Inlighnx Global](https://www.inlighntech.com/).,