331 Data Science Jobs in Nagpur

You are a Data Entry Executive who will be responsible for updating and maintaining information on clients" databases and computer systems. Your role is crucial in supporting the smooth functioning of administrative and operational processes within the company. You will handle data entry, documentation, internal communication, record keeping, and provide backend support to various departments to ensure efficiency and accuracy in day-to-day operations. **Key Responsibilities:** - Perform data entry tasks with speed and accuracy - Maintain and update client databases - Handle documentation and record keeping - Assist various departments with backend support - Ensure the accuracy of information entered into the systems **Qualifications Required:** - Proven work experience as a Data Entry Operator or Office Clerk - Proficiency in MS Office and data programs - Familiarity with administrative duties - Experience with office equipment such as fax machines and scanners - High typing speed and accuracy - Excellent knowledge of spelling, grammar, and punctuation The company does not hire pursuing students. The ideal candidate for this role will possess excellent organizational and time management skills, a strong attention to detail and accuracy, proficiency in Microsoft Office applications (Excel, Word, Outlook), and office management software. Additionally, strong written and verbal communication skills are essential, along with the ability to work both independently and collaboratively. This is a full-time, permanent position suitable for freshers. The work location is in-person in Nagpur, Maharashtra. Applicants must be able to reliably commute or plan to relocate before starting work. Preferred qualifications include one year of total work experience and proficiency in the English language.,

As a Data Research Executive at our company, you will play a vital role in supporting our growing team. Your responsibilities will include: - Researching data regarding our project needs and requirements - Working on data analysis and creating presentations - Utilizing extensive research capabilities in Web Portals - Using various tools for lead generation and email verification - Conducting Lead Generation using search engines and tools - Updating the database with all the generated leads - Applying good knowledge of Searching Techniques - Optimizing collected data and creating reports - Writing blogs and drafting emails You should possess the following necessary skills: - Proficiency with MS Office suite, particularly Excel - Strong command over written and spoken English - Strong problem-solving skills - Ability to manage multiple priorities - Ability to work well under pressure - Organized and detail-oriented - Comfortable with ambiguity - Great teammate Qualifications required for this role include: - Bachelor's degree or equivalent experience - Expertise with SPSS, Excel, and PowerPoint - Previous quantitative and qualitative research experience (Preferred) Experience level for this position ranges from Fresher to 2 years, and freshers are also encouraged to apply. In addition to the above, you can look forward to the following perks and benefits: - Learning on the job - Exposure to Data Analysis Tools - Exposure to multiple data science projects - Young and Vibrant Work Environment This is a Full-time, Regular / Permanent position with a salary range of 8,000 - 10,000 per month. The work location is Nagpur only, and the schedule is a Day shift from Monday to Saturday (10.00 AM to 7.00 PM). If you are interested in applying for this position, please mail your updated Resume to career@astrotechindia.co.in.,

Role Overview: You will be responsible for calling insurance companies in the US to follow-up on claims, reviewing EOB/ERA, denials, understanding denial reasons, and initiating appropriate actions. Additionally, you will analyze denials, work on rejections, and be involved in the RCM process focusing on data analysis. It is essential to meet all agreed goals and objectives within specified timeframes as part of the company's overall mission. Key Responsibilities: - Make calls to insurance companies in the US to follow-up on claims - Review EOB/ERA and denials to understand denial reasons - Initiate appropriate actions based on denial reasons - Analyze denials and work on rejections - Be actively involved in the RCM process focusing on data analysis Qualifications Required: - Fluent verbal communication abilities in the English language - Basic working knowledge of computers - Willingness to work continuously on night shifts - College degree preferred Additional Company Details: The job category is Accounts Receivable. This is a full-time night shift position from Monday to Friday located in Nagpur, India. Please note that freshers can apply for this position.,

Role Overview: As an MDM Data Analyst, your role involves working closely with business stakeholders to understand and gather data requirements, develop data models and database designs, and define and implement data standards, policies, and procedures. You will also be responsible for implementing rules inside the MDM tool to enhance data quality, conducting deduplication projects to create golden records, and overall contributing towards improving the quality of data in the assigned domain. Key Responsibilities: - Proficiency in MDM tools and technologies such as Informatica MDM, CluedIn, or similar platforms is essential. - Familiarity with data modeling, data integration, and data quality control techniques. - Experience in designing, implementing, and maintaining master data management systems and solutions, including data cleansing, auditing, and validation activities. - Strong analytical and problem-solving skills for interpreting and working with large volumes of data. - Excellent communication and interpersonal skills to collaborate effectively with business stakeholders, IT teams, and other departments. - In-depth knowledge of data governance, data quality, and data integration principles. - Developing rules and standards for the domain of data. - Generating measures of improvement to demonstrate the quality of the data to the business. Qualifications Required: - A Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. - Certification in the MDM domain (e.g., Certified MDM Professional) can be a plus. Additional Details: The company recruiter for this position is Devikala D. Note: The Job Code is GO/JC/1295/2025.,

As an experienced Python and Generative AI Developer, you will be responsible for designing, building, and deploying intelligent systems capable of generating text, images, code, or other content. You will collaborate closely with data scientists, ML engineers, and product teams to bring cutting-edge generative models to life in real-world applications. **Key Responsibilities:** - Design and develop generative AI models using libraries such as PyTorch, TensorFlow, or Hugging Face Transformers. - Fine-tune and deploy Large Language Models (LLMs) or Diffusion Models for text generation, image generation, and content summarization. - Integrate generative AI into applications using Python, RESTful APIs, and front-end tools like Streamlit and Gradio. - Implement prompt engineering techniques and optimize inference performance. - Collaborate with cross-functional teams to gather requirements, define architecture, and deploy solutions in production environments. - Maintain codebase quality through testing, documentation, and code reviews. - Stay up-to-date with the latest trends and research in generative AI and apply them to product innovation. **Qualifications Required:** - Your proficiency in Python and experience with Python ML/DL libraries such as NumPy, Pandas, scikit-learn, PyTorch or TensorFlow will be essential. - Hands-on experience with Generative AI frameworks like Hugging Face Transformers, OpenAI GPT/DALLE/Codex, Stable Diffusion, GANs, or VAEs is required. - Experience working with REST APIs, building Python-based services, familiarity with prompt engineering, LLM orchestration tools, and a strong understanding of deep learning fundamentals are necessary. **Additional Details:** Nice-to-have qualifications include experience with Docker, Kubernetes, CI/CD pipelines, cloud services (AWS/GCP/Azure), Agentic Workflow, Portkey, and knowledge of ethical AI and model safety principles. **Company Benefits:** - Food provided - Health insurance If you meet the requirements, please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930. *Schedule:* - Day shift - Monday to Friday *Work Location:* In person,

Role Overview: As an Analyst at NTT DATA, your main responsibility will be to analyze and interpret data to support business decision-making. You will gather and process data, create reports, identify trends, perform statistical analyses, and ensure data accuracy. Collaboration with cross-functional teams will be essential to provide actionable insights and improve business processes. This full-time, on-site role is located in Nagpur. Key Responsibilities: - Analyze and interpret data to support business decision-making - Gather and process data - Create reports and identify trends - Perform statistical analyses - Ensure data accuracy - Collaborate with cross-functional teams to provide actionable insights and improve business processes Qualifications: - Proficiency in Data Analysis, Data Visualization, and Statistical Analysis - Strong problem-solving, critical thinking, and decision-making skills - Experience with SQL, Excel, and data analytics tools - Strong communication and presentation skills to share findings effectively - Bachelor's degree in Business, Data Science, Statistics, Computer Science, or a related field - Ability to work independently and collaboratively in a fast-paced environment - Experience with business intelligence tools and knowledge of industry trends is a plus,

As a Data Scientist specializing in GenAI and Machine Learning with 3+ years of experience, your role will involve working on end-to-end data projects. You will be responsible for analyzing large datasets to derive business insights, designing and optimizing ML and GenAI models, and developing RAG pipelines to enhance model accuracy and contextual awareness. Additionally, you will build data pipelines, collaborate with engineering teams for model deployment, and stay updated on the latest advancements in GenAI and applied ML research. Key Responsibilities: - Analyze large datasets to generate actionable business insights. - Design, train, and optimize ML and GenAI models for text generation, summarization, classification, and recommendation. - Develop and maintain RAG pipelines to enhance model accuracy and contextual awareness. - Implement and fine-tune LLMs using frameworks like LangChain, LlamaIndex, or Hugging Face Transformers. - Build data pipelines and automation workflows for scalable model deployment. - Collaborate with engineering teams to operationalize AI models using cloud services such as AWS SageMaker, Azure ML, GCP Vertex AI. - Conduct exploratory data analysis (EDA), feature engineering, and model evaluation using statistical and ML methods. - Visualize data and insights using tools like Tableau, Power BI, or Plotly Dash. - Document experiments, performance metrics, and ensure reproducibility of models. - Stay updated on the latest developments in GenAI, LLMs, and applied ML research. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 3+ years of experience as a Data Scientist, ML Engineer, or AI Researcher. - Strong proficiency in Python (pandas, numpy, scikit-learn, matplotlib, seaborn). - Solid understanding of machine learning algorithms, model evaluation, and data preprocessing. - Experience building or fine-tuning LLMs and implementing RAG pipelines. - Familiarity with GenAI frameworks such as LangChain, LlamaIndex, OpenAI API, Hugging Face. - Experience with SQL and working with large, real-world datasets. - Exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Experience with version control (Git) and collaborative workflows.,

As a Data Engineer in our company, your role will involve designing and implementing data migration, ingestion, processing, and analytics pipelines using a variety of technologies including AWS (S3, Glue, Lambda, Athena, RDS Aurora, Databricks) and Azure (ADF, ADLS, Synapse, Databricks). You will be expected to apply your strong expertise in SQL, data modeling, schema design, and data quality management. Additionally, you will need to ensure governance, security, compliance, metadata management, MDM, and data catalog practices are followed. Working with big data, NoSQL, relational DBs, and data warehouse solutions will be part of your responsibilities. Building real-time pipelines with Kafka/Event Hubs and enabling Data Fabric architecture with APIs, data virtualization, and lineage tools (Collibra, Informatica, Alation, Purview) will also be a key aspect of your role. Supporting CI/CD, DevSecOps, IaC (Terraform/Bicep), and Agile Scrum practices will round out your responsibilities. Key Responsibilities: - Design and implement data migration, ingestion, processing, and analytics pipelines using AWS and Azure technologies - Apply expertise in SQL, data modeling, schema design, and data quality management - Ensure governance, security, compliance, metadata management, MDM, and data catalog practices - Work with big data, NoSQL, relational DBs, and data warehouse solutions - Build real-time pipelines with Kafka/Event Hubs and enable Data Fabric architecture with APIs, data virtualization, and lineage tools - Support CI/CD, DevSecOps, IaC (Terraform/Bicep), and Agile Scrum practices Qualifications Required: - Lead Data Engineer: 8-10 years; Data Engineer: 6-8 years of experience - Proficiency in Apache Spark (PySpark/Scala), SQL, data pipelines, and cloud migration - Strong experience with Azure and AWS data services - Familiarity with metadata management, lineage, governance tools, and schema registry - Good communication, teamwork, and problem-solving skills In addition, having knowledge of microservices, event-driven architectures, and programming languages such as Node.js, Python, or .NET would be preferred. Experience with SSIS, Hadoop ecosystem (Hive, HBase, Cassandra, Spark, Flume, Impala) is also a plus.,

As a Python Developer and Data Science Trainer at Softronix IT Training in Nagpur, you will be responsible for developing and maintaining back-end systems, ensuring software development projects adhere to best practices, and teaching programming concepts to students. Your role will involve instructing students in object-oriented programming (OOP) and database management while designing and updating curriculum. You will provide one-on-one mentorship, assess student progress, and prepare training materials to facilitate learning. Key Responsibilities: - Develop and maintain back-end systems - Ensure software development projects follow best practices - Teach programming concepts and instruct students in OOP and database management - Design and update curriculum - Provide one-on-one mentorship and guidance to students - Assess student progress - Prepare training materials Qualifications: - Proficiency in Back-End Web Development and Software Development - Strong understanding of Object-Oriented Programming (OOP) and general Programming skills - Knowledge of Databases and their management - Excellent written and verbal communication skills - Experience in teaching or training in a classroom setting is beneficial - Bachelor's degree in Computer Science, Engineering, or related field Join Softronix IT Training to contribute to our mission of providing high-quality education and professional programs in the IT industry.,

Role Overview: As a Data Entry Operator at The Crossword School in Nagpur, Maharashtra, you will be responsible for updating and maintaining information on company databases and computer systems. Your role will involve inputting text-based and numerical data accurately, verifying information, and ensuring data confidentiality and security. This is an exciting opportunity for individuals with proven data entry experience and proficiency in MS Office tools. Key Responsibilities: - Input text-based and numerical information from source documents into databases within specified time limits - Compile and verify the accuracy of information, and sort it according to priorities for computer entry - Review data for errors and deficiencies, and make necessary corrections - Utilize computer skills, including proficiency in Excel and Google Sheets - Maintain confidentiality and security of data Qualification Required: - Good typing speed - Proven work experience as a Data Entry Operator or Office Clerk - Proficiency in MS Office tools, particularly MS Excel or Tally - Basic computer knowledge and excellent typing skills (30-40 wpm) - Experience in the medical field is preferred Additional Details of the Company: The Crossword School offers paid time off benefits to its employees, allowing for effective work-life balance. Join us as a Data Entry Operator and contribute to our efficient data management systems. Apply now to kick-start your career in Nagpur, Maharashtra!,

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. - Designing and implementing predictive and forecasting models that drive business impact. - Conducting A/B experiments to validate ideas and inform product decisions. - Establishing and maintaining data pipelines to ensure data integrity and timeliness. - Leading generative-AI initiatives such as LLM-powered chat and RAG search. - Deploying and monitoring models using contemporary MLOps practices in the public cloud. - Setting up monitoring and alerting systems for accuracy, latency, drift, and cost. - Mentoring your team and translating complex insights into actionable narratives for non-technical stakeholders. - Ensuring data governance and privacy compliance. - Staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have: - A strong foundation in statistics, experiment design, and end-to-end ML workflows. - Proficiency in Python and SQL with a track record of transitioning models from notebooks to production. - Hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines. - Practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

Role Overview: As a data-science leader, you will be responsible for transforming raw data into actionable insights and developing innovative AI products. Your role will involve managing projects from the initial framing of business questions to the deployment and monitoring of models in the cloud. You will have the opportunity to introduce cutting-edge generative-AI concepts such as chat assistants and retrieval-augmented search. Additionally, you will lead a team of data professionals and collaborate closely with product, engineering, and business stakeholders to deliver measurable results. Key Responsibilities: - Designing and constructing predictive and forecasting models that drive tangible impact - Planning and executing A/B experiments to validate ideas and guide product decisions - Developing and maintaining data pipelines to ensure the integrity and timeliness of datasets - Spearheading generative-AI initiatives and implementing modern MLOps practices for model deployment and monitoring in the public cloud - Establishing robust monitoring and alerting mechanisms for accuracy, latency, drift, and cost Qualifications Required: - Strong foundation in statistics, experiment design, and end-to-end machine learning workflows - Proficiency in Python and SQL - Proven track record of transitioning models from notebooks to production environments - Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including container-based deployment and CI/CD practices - Practical exposure to generative-AI projects, including prompt engineering, fine-tuning, and retrieval-augmented pipelines (Note: The job description does not include any additional details about the company.),

You will interpret data, analyze results using statistical techniques, and provide ongoing reports. You will also develop and implement databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality. Additionally, you will acquire data from primary or secondary sources and maintain databases and data systems. Qualifications Required: - Proficiency in statistical analysis - Experience with database management systems - Strong analytical skills Note: This job is full-time and permanent. The work location is in person.,

Role Overview: At Bayer, we are visionaries dedicated to solving the world's toughest challenges and working towards a future where "Health for all, Hunger for none" is a reality. With energy, curiosity, and sheer dedication, we strive to learn from diverse perspectives, expand our thinking, grow our capabilities, and redefine what is possible. If you are eager to build a varied and meaningful career in a community of brilliant minds to make a real difference, then joining us is the obvious choice. Key Responsibilities: - Exchange and dissemination of scientific, educational, and research-related information: - Plan, prepare, and engage with Thought Leaders (TLs - Doctors) through various innovative tactics and formats - Provide dissemination, clarification, and education of scientific data, study protocols, meeting abstracts, and professional literature - Interactions with Medical Societies and Advisory Boards: - Answer medical/scientific queries of Medical Societies regarding Bayer products - Organize/support/participate in advisory boards - Participation in Congresses and Conventions: - Attend events, interact with TLs, establish new contacts, and gather competitive intelligence - Coordination of Scientific Education Activities: - Plan and organize scientific training and education events/sessions with TLs in specific therapeutic areas or products - TL identification/profiling/segmentation and strategy and engagement planning: - Contribute to internal understanding of specific TL interests and expertise within the medical community - Preparation of reports and tracking activities: - Submit timely reports and track activities against agreed objectives - External scientific support, training, and education: - Provide additional external scientific support, training, and education not covered by primary activities Qualifications Required: - Qualification in natural sciences or Medical background (MD/MBBS/BAMS/BDS/MDS) - Basic knowledge of the concerned therapy area (Diabetology) and related molecules - Basic understanding of clinical trials, their design, and rationale - Ability to work independently and in a team environment, build productive work relationships internally and externally - Excellent presentation and written and verbal communication skills Additional Details: N/A,

Role Overview: You will be responsible for leading data analytics with a focus on forensic and digital investigation. Your expertise in digital forensics principles, malware analysis, money laundering, anti-corruption cases, and data investigation will be crucial for this role. Strong written and verbal communication skills are necessary to effectively communicate findings and insights. Key Responsibilities: - Strong experience in forensic and digital investigation - Understanding of digital forensics principles and methodologies - Experience in malware analysis and handling cases of money laundering, anti-corruption - Data investigation Qualifications Required: - Minimum 6+ years of experience - Excellent written and verbal communication skills Please note that the job code for this position is GO/JC/1343/2025. The recruiter for this role is Sheena Rakesh. (Note: The section "Other Information" has been omitted as it only contains the job code and recruiter name, which have been mentioned above.),

As a Data Engineer Developer at our company, you will play a crucial role in designing, developing, and optimizing scalable data solutions using your expertise in data engineering, pipeline development, and cloud technologies. Working in an Agile environment, you will collaborate with various teams to deliver high-quality data solutions. Key Responsibilities: - Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and processing. - Utilize Apache Spark / PySpark to efficiently process large-scale datasets. - Implement and manage data solutions using AWS services such as Glue, Lambda, S3, and Redshift. - Develop real-time and batch data pipelines using Kafka and other messaging systems. - Collaborate with data analysts, architects, and business teams to understand requirements and deliver scalable solutions. - Perform data analysis, data modeling, and schema design using tools like ERwin/BPwin. - Manage databases including Oracle, PostgreSQL, and Sybase to ensure optimized performance. - Ensure smooth integration and version control using GitHub / BitBucket and CI/CD tools like Jenkins. - Write optimized SQL queries for reporting and analytics. - Conduct unit testing to ensure data quality, accuracy, and reliability. - Participate in Agile ceremonies, contributing to sprint planning, reviews, and retrospectives. Qualification Required: - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. About the Company: (Omitting this section as it's not present in the provided Job Description) In this role, you will need to have 5-8 years of proven experience in data engineering and development, along with strong programming skills in Python and SQL. Your proficiency in AWS cloud services, data modeling tools, and database management will be crucial for success. Additionally, your knowledge of Agile methodologies and ability to work in a collaborative environment will be highly valued. Shift: Day shift Location: On-site Job Type: Full-time Work Location: In person As a Data Engineer Developer at our company, you will play a crucial role in designing, developing, and optimizing scalable data solutions using your expertise in data engineering, pipeline development, and cloud technologies. Working in an Agile environment, you will collaborate with various teams to deliver high-quality data solutions. Key Responsibilities: - Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and processing. - Utilize Apache Spark / PySpark to efficiently process large-scale datasets. - Implement and manage data solutions using AWS services such as Glue, Lambda, S3, and Redshift. - Develop real-time and batch data pipelines using Kafka and other messaging systems. - Collaborate with data analysts, architects, and business teams to understand requirements and deliver scalable solutions. - Perform data analysis, data modeling, and schema design using tools like ERwin/BPwin. - Manage databases including Oracle, PostgreSQL, and Sybase to ensure optimized performance. - Ensure smooth integration and version control using GitHub / BitBucket and CI/CD tools like Jenkins. - Write optimized SQL queries for reporting and analytics. - Conduct unit testing to ensure data quality, accuracy, and reliability. - Participate in Agile ceremonies, contributing to sprint planning, reviews, and retrospectives. Qualification Required: - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. About the Company: (Omitting this section as it's not present in the provided Job Description) In this role, you will need to have 5-8 years of proven experience in data engineering and development, along with strong programming skills in Python and SQL. Your proficiency in AWS cloud services, data modeling tools, and database management will be crucial for success. Additionally, your knowledge of Agile methodologies and ability to work in a collaborative environment will be highly valued. Shift: Day shift Location: On-site Job Type: Full-time Work Location: In person

As a Data Engineer at GlobalLogic, you will have the opportunity to work on cutting-edge Big Data applications using technologies such as Google Cloud Platform. You will play a crucial role in building data pipelines capable of processing large-scale data to solve complex business problems. Key Responsibilities: - Work as part of an agile team to develop and migrate new data pipelines - Optimize and fine-tune existing workflows - Deploy Spark tasks on Kubernetes clusters - Bring new ideas for enhancing the performance of data pipelines running on Kubernetes Qualifications Required: - 4-6 years of hands-on experience in Data Engineering - Proficiency in writing and optimizing SQL queries in HIVE/Spark - Excellent coding and scripting skills in Python - Experience in deploying Spark applications in Kubernetes clusters - Familiarity with development, deployment, and troubleshooting of Spark applications - Exposure to any cloud environment (AWS/GCP preferred) At GlobalLogic, you will experience a culture of caring where people come first. You will have access to continuous learning and development opportunities to grow personally and professionally. You will work on meaningful projects that make an impact and have the flexibility to achieve a healthy work-life balance. Join us and be part of a high-trust organization committed to integrity and ethical practices.,

You are a highly skilled Sr. Associate - AI/ML Developer who will lead the design, development, and deployment of advanced machine learning, computer vision, and natural language processing (NLP) solutions. Your role requires strong technical expertise, problem-solving ability, and hands-on experience in delivering scalable AI-driven applications. You will play a key role in building intelligent systems and guiding junior developers. **Key Responsibilities:** - Python Expertise: Advanced programming skills in Python for AI/ML applications. - Computer Vision & OCR: Proven experience with OpenCV, Tesseract, and image recognition. - NLP & Text Processing: Strong experience in NLP techniques, including text embeddings, transformers, and chatbot frameworks. - Deep Learning: Solid understanding of TensorFlow, CNNs, RNNs, and model training pipelines. - Agentic AI: Ability to design and implement AI agents with decision-making capabilities. - Data Engineering: Strong skills in preprocessing, augmentation, and handling large-scale datasets. - Optimization & Deployment: Experience with MLOps, GPU acceleration, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure). - Collaboration & Leadership: Ability to mentor juniors and collaborate across multidisciplinary teams. **Qualifications Required:** - Advanced programming skills in Python for AI/ML applications - Proven experience with OpenCV, Tesseract, and image recognition - Strong experience in NLP techniques, including text embeddings, transformers, and chatbot frameworks - Solid understanding of TensorFlow, CNNs, RNNs, and model training pipelines - Ability to design and implement AI agents with decision-making capabilities - Strong skills in preprocessing, augmentation, and handling large-scale datasets - Experience with MLOps, GPU acceleration, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure) The company has been referenced as (ref:hirist.tech).,

As an AI/ML Developer at our company, you will have the exciting opportunity to work on impactful projects involving cutting-edge artificial intelligence and machine learning technologies. You will collaborate with a team of experts in a dynamic, fast-paced environment to design, develop, and deploy intelligent systems. **Key Responsibilities:** - Develop AI/ML applications based on project requirements and business goals. - Research and implement machine learning algorithms, extend existing libraries/frameworks as necessary. - Train ML models, fine-tune on custom data, and work on functional design, process, prototyping, and testing of AI/ML solutions. - Take ownership, drive results in an agile environment, and collaborate effectively with the team. **Skills:** - Experience with deep learning in NLP, Speech, or Computer Vision. - Proficiency in ML frameworks like PyTorch or Tensorflow and developing/fine-tuning Large Language Models. - Strong coding skills in Python following best practices. - Proficient in REST API development, high-performance implementations, and cloud ecosystems (AWS/Azure/GCP). - Knowledge of basic algorithms, object-oriented design principles, data structures, data modeling, DB schema design, coding standards, and git workflows. - Excellent communication skills and the ability to work across teams with strong analytical and problem-solving capabilities. **Qualifications:** - Completed a graduate degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. - Solid understanding of machine learning fundamentals and algorithms. - Proficiency in programming languages such as Python. - Ability to work independently and collaborate effectively in a team environment. In addition to the above details, the job requires you to have your own Laptop. You should have 2 years of experience as an AI/ML Developer. The work location is in Nagpur, Maharashtra, and it is a full-time position.,

As a Student at Plaid in Dublin with work-from-home flexibility, you will play a vital role in team projects, research, data analysis, and day-to-day operations. Your responsibilities will include collaborating with team members, problem-solving, and assisting in project planning and execution to meet company goals. Your proactive attitude and eagerness to learn will be key in excelling in this role. - Strong analytical and research skills to evaluate and synthesize data effectively. - Effective communication skills, both verbal and written, and the ability to work collaboratively within a team. - Proficiency in tools like spreadsheets, presentation software, and other relevant software for data analysis and project management. - Excellent time management and organizational skills to prioritize and handle multiple tasks simultaneously. - Curiosity and a keen interest in technology, innovation, or financial systems. - Preferably pursuing or holding a Bachelor's degree in fields like Business, Economics, Computer Science, or related areas. No additional details about the company were provided in the job description.,