1564 Data Scientist Jobs - Page 13

We are looking for a hands-on AI Engineer / Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) . The ideal candidate will have experience building custom AI models from the ground up, optimizing for performance, and integrating them into real-world systems and applications. Key Responsibilities: Design, build, and deploy NLP and LLM-based models tailored to domain-specific needs (e.g., chatbots, summarization, classification). Fine-tune and adapt foundation models (e.g., GPT, LLaMA, Mistral) for business use cases. Build custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations. Work closely with engineering teams to integrate AI models into production systems (APIs, microservices, and edge deployments). Conduct experimentation, model evaluations , and performance tuning for latency, accuracy, and scalability. Collaborate cross-functionally with product, infra, and DevOps teams to ensure smooth deployment and monitoring of model Required Skills & Experience: 3-6 Years of relevant Experience Strong experience with Python , PyTorch , or TensorFlow . Proven track record in training, fine-tuning , and deploying LLMs or transformer-based models (BERT, GPT, T5, etc.). Solid understanding of NLP fundamentals – tokenization, embeddings, attention, text classification, sequence labeling, etc. Experience with model deployment tools : FastAPI, Flask, Docker, REST APIs. Exposure to data pipelines and MLOps tools (MLflow, Weights & Biases, SageMaker, etc.). Knowledge of speech-based interfaces or integration with telephony/speech systems is a strong plus. Ability to translate business problems into AI solutions. Experience with RAG (Retrieval Augmented Generation) pipelines. Familiarity with LangChain, LlamaIndex , or similar agentic/LLM orchestration tools. Understanding of model security, prompt injection risks , and observability . Pls share below details with updated CV to shruti.solasi@movius.ai if the JD suits your profile: EXP CTC ECTC Location Notice Regards, Shruti

At TRKKN, we are driven by the excitement of taking our client's data-driven businesses to new heights. As the leading European Google partner and reseller of Google Cloud & Google Marketing Platform, we act as a catalyst for cutting-edge digital marketing solutions. Our team is diverse, international, inspiring, and operates in a fast-growing digital & technological environment. This provides the ideal and dynamic work environment for individuals with a hunger for growth, responsibility, and the desire to shape their future. With Google in close proximity, the learning and development opportunities at TRKKN are limitless. With over 25 nationalities, 20+ languages, and 240+ Trakkies on board, we’re taking our business global, and our story doesn't end here! How you will make an impact: As a part of an international team of Data Scientists and Machine Learning experts with diverse backgrounds, you will be responsible for: Solving complex business challenges by means of advanced analytics, predictive modeling, machine learning/AI or other statistical modelling Developing and deploying minimally viable products Consulting clients in the area of data science/ML/AI Continuous collaboration with other technical departments such as Cloud Engineers, Solution Architects, etc. to facilitate deployments The person we’re looking for… Holds a master’s degree in mathematics, statistics, physics, data science, computer science or a comparable educational background Has professional experience of at least 2 years in analytics, machine learning or AI Is proficient in Python and SQL Has deep knowledge of statistical techniques and machine learning Knows technical and methodological aspects of running ML models in production Is customer-oriented and a strong analytical thinker Has strong storytelling skills and the ability to effectively communicate technical concepts to non-technical clients and colleagues Is fluent in written and spoken English, German is a plus Nice to have: Experience with Google Analytics and Google Cloud Platform Experience in the areas of marketing analytics, marketing intelligence, business intelligence, digital analytics and/or online marketing

About the Company KPMG in India is a leading professional services firm established in August 1993. The firm offers a wide range of services, including audit, tax, and advisory, to national and international clients across various sectors. KPMG operates from offices in 14 cities, including Mumbai, Bengaluru, Chennai, and Delhi. KPMG India is known for its rapid, performance-based, industry-focused, and technology-enabled services. The firm leverages its global network to provide informed and timely business advice, helping clients mitigate risks and seize opportunities. KPMG India is committed to quality and excellence, fostering a culture of growth, innovation, and collaboration. About the Role Data Scientist Job Location: Bangalore/Gurgaon Experience: 4-10 years Responsibilities 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and/or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Equal Opportunity Statement KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Data Scientist Experience: 1-7 years Location: Pune (Work From Office) Job Description: Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) Excellent verbal and written communication skills, Excellent analytical and problem-solving skills Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist Good To Have: Familiarity with Hive, Pig and Scala. Experience in embeddings, Retrieval Augmented Generation (RAG), Gen AI Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Job Type: Full-time Benefits: Provident Fund Work Location: In person

🚀 We're Hiring: Data Scientist | 8+ Years Experience | On-Site (India) 🔍 Role Title: Data Scientist 📍 Location: India (Onsite) 🕒 Engagement Type: Full-Time Employee (FTE) 📅 Start Date: Immediate Joiners 💼 Experience: 8+ Years 💰 Salary: Flexible / As per market standards 🖥️ Work Type: On-Site (India-based candidates only) About the Role: We are on the lookout for a seasoned Data Scientist to join our dynamic team and contribute to the development of AI-driven data conversion tools . If you're passionate about working on cutting-edge AI/ML technologies and love solving real-world data transformation challenges — we’d love to hear from you! Key Responsibilities: Design and develop AI-powered data conversion applications Apply advanced AI/ML techniques for data mapping and validation Automate code generation using AI models Ensure data quality and integrity through validation techniques Collaborate closely with engineers, developers, and business analysts Maintain clear and comprehensive technical documentation Stay updated with the latest AI/Data Science trends and tools Troubleshoot and optimize AI-based systems Required Skills & Qualifications: Bachelor’s/Master’s in Data Science, Computer Science, AI , or related fields Strong programming skills in Python and SQL Hands-on with ML frameworks like TensorFlow or PyTorch Solid grasp of AI-driven data mapping, code generation, and validation Familiarity with SQL Server, MongoDB , and other databases Excellent problem-solving, collaboration, and communication skills Proven track record with 8+ years in Data Science Open, growth-oriented mindset with the ability to learn from failures Preferred Skills (Nice to Have): Experience in Financial Services domain Certifications in AI/ML or Data Science Background in ETL, data wrangling, or master data management Exposure to DevOps tools (Jira, BitBucket, Confluence) Familiarity with cloud and ML tools such as Azure ML, Databricks, Cognitive Services, Azure Synapse Interview Process: Technical Round 1 Technical Round 2

Notice period: Immediate 15days Timings:1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) We are seeking a strategic and innovative Senior Data Scientist to join our high-performing Data Science team. In this role, you will lead the design, development, and deployment of advanced analytics and machine learning solutions that directly impact business outcomes. You will collaborate cross-functionally with product, engineering, and business teams to translate complex data into actionable insights and data products. Key Responsibilities Lead and execute end-to-end data science projects, encompassing problem definition, data exploration, model creation, assessment, and deployment. Develop and deploy predictive models, optimization techniques, and statistical analyses to address tangible business needs. Articulate complex findings through clear and persuasive storytelling for both technical experts and non-technical stakeholders. Spearhead experimentation methodologies, such as A/B testing, to enhance product features and overall business outcomes. Partner with data engineering teams to establish dependable and scalable data infrastructure and production-ready models. Guide and mentor junior data scientists, while also fostering team best practices and contributing to research endeavors. Required Qualifications & Skills: Masters or PhD in Computer Science, Statistics, Mathematics, or a related 5+ years of practical experience in data science, including deploying models to Expertise in Python and SQL; Solid background in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and Competence in data visualization tools like Tableau, Power BI, matplotlib, and Comprehensive knowledge of statistics, machine learning principles, and experimental Experience with cloud platforms (AWS, GCP, or Azure) and Git for version Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD). Familiarity with NLP, time series forecasting, or recommendation systems is a Knowledge of big data technologies (Spark, Hive, Presto) is desirable

Notice period: Immediate 15days Profile source: Tamil Nadu Timings: 1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems . This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: Clean, transform, and analyze data (structured and unstructured) from diverse Perform exploratory data analysis to identify actionable Support the development and evaluation of traditional and deep learning Assist in integrating LLMs into workflows using RAG Collaborate with senior team members to build and refine agentic AI systems for task Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. Develop dashboards, visualizations, and documentation to effectively communicate insights and Required Skills & Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). Hands-on experience with SQL and database A strong passion for advancements in Artificial Intelligence and a commitment to ongoing Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Knowledge of agentic AI systems, including task planning and autonomous agents Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. United Health Group is a leading health care company serving more than 85 million people worldwide. The organization is ranked 5th among Fortune 500 companies. UHG serves its customers through two different platforms - United Health Care (UHC) and Optum. UHC is responsible for providing healthcare coverage and benefits services, while Optum provides information and technology enabled health services. India operations of UHG are aligned to Optum. The Optum Global Analytics Team, part of Optum, is involved in developing broad-based and targeted analytics solutions across different verticals for all lines of business. Primary Responsibilities: Work on business analysis requests around different business problems Creating analytical findings for the internal clients of UHG as per specifications received from them using information in UHG Specific databases Work with Senior team members to develop new capabilities for the team Being Accountable Possess Achievable Drive Passionate about solution or product development Looks forward to build and apply technical and functional skills Focuses on understanding Goals, Priorities and Plans Possess problem solving approach Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or 4+ years of university degree 2+ years of Experience with below mentioned Skills 2+ years of business experience in analytics, machine learning projects in Business Intelligence/Business Analysis space Experience of GenAI with advanced artificial intelligence technologies and methodologies End to end experience in designing and deploying models and look out end to end productionize pipeline Good knowledge around Predictive & Prescriptive Analytics techniques like Hypothesis testing, Probability, Supervised & Unsupervised Learnings Good understanding of analytics tools: R, Python, SQL, Databricks & cloud technologies Deep understanding on Responsible use of AI Understanding on bias detection and mitigation strategy Processing and good to have fundamental understanding on Gen-AI & Large Language Models Proven solid problem-solving skills Proven excellent understanding of basic statistics and advance mathematics to analyze and understand data patterns Proven ability to learn and adapt to new data technologies Proven ability in slicing and dicing of data structures, Natural Language Proven good problem-solving & communication skills Preferred Qualifications: Certified in Azure Cloud (AZ-900) Proven excellent time management & communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. About the Role Love deep data. Love discussing solutions instead of problems. Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift.

As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Company Description Komfy Trip specializes in crafting seamless, personalized travel experiences for travelers. From budget-friendly adventures to luxurious getaways, Komfy Trip handles every detail to ensure a stress-free journey. Travel with comfort and confidence, knowing that Komfy Trip is dedicated to making your travel effortless and enjoyable. Role Description This is a full-time remote role for a Data Scientist at Komfy Trip LLP. The Data Scientist will be responsible for tasks such as data science, statistics, data analytics, data visualization, and data analysis to drive insights and decision-making for the company. Qualifications Data Science and Statistics skills Data Analytics and Data Analysis skills Data Visualization skills Experience in interpreting and analyzing complex data sets Strong problem-solving and critical thinking abilities Proficiency in programming languages like Python or R Experience with machine learning and data mining techniques Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Role - Data Scientist Experience - 13+ years Work Location - Remote Notice Period - I mmediate Joiners Mandatory Skills - Any LLM, Fine Tuning, ML Ops, Cloud Key Responsibilities: Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training. Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models, focusing on pre-training as well instructiontuning pre-trained LLMs for mortgage-specific applications.Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities. Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Experiment with different architectures and open-source models to identify the best fit for project requirements. Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable. Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements. Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility. Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, and implementing strategies to mitigate them. Required Skills: Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch. NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models. Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis. Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches. Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders. Preferred Qualifications: Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions. Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation. Applicants can connect with Abhishek for more details Email - abhishek.m@livecjobs.com WhatsApp - 9154908075

Data Scientist Hyderabad, 3 days WFO Highly skilled data scientist who will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. 4 to 7 years (II) of proven experience as a Data Scientist or in a similar role. Collaborate with AI/ML engineers, and architects to research, design, develop, and evaluate cutting-edge AI & generative AI models Build Train & Deploy AI Models to address real-world challenges Expertise working on AI platforms such as Dataiku, AWS Sagemaker, Bedrock, Snowflake Cortex AI etc. Interact with customers directly to understand the business problem, help and aid them in implementation of AI & generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders Provide customer and market feedback to Product and Engineering teams to help define product direction Strong communication and client-facing skills, with the ability to translate technical concepts into business terms.

Develop and implement predictive models and machine learning algorithms to solve logistics-related problems such as demand forecasting , route optimization , inventory prediction , and shipment delay analysis . Analyze large volumes of structured and unstructured logistics data from systems such as TMS (Transportation Management Systems) , WMS (Warehouse Management Systems) , and ERP platforms . Design and maintain dashboards and visualizations to track supply chain KPIs, operational performance, and model outputs using Power BI , Tableau , or similar tools. Work cross-functionally with logistics, operations, procurement, and IT teams to understand business challenges and translate them into data science solutions. Use SQL , Python , R*, and big data tools* to extract, clean, and prepare datasets for analysis and modeling. Deploy models into production and monitor their performance to ensure accuracy and reliability over time. Contribute to strategic initiatives such as logistics network design, warehouse automation, and sustainability optimization. Conduct A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies Job Type: Full-time Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

At AryaXAI , we’re building the future of explainable, scalable, and aligned AI —designed specifically for high-stakes environments where trust, transparency, and performance are non-negotiable. From financial services to energy and other regulated industries, our platform powers intelligent decision-making through safe and robust AI systems. We’re looking for a Data Scientist with a deep understanding of both classical and deep learning techniques, experience building enterprise-scale ML pipelines, and the ambition to tackle real-world, high-impact problems. You will work at the intersection of modeling, infrastructure, and regulatory alignment—fine-tuning models that must be auditable, performant, and production-ready. Responsibilities: Modeling & AI Development Design, build, and fine-tune machine learning models (both classical and deep learning) for complex mission-critical use cases in domains like banking, finance, energy, etc. Work on supervised, unsupervised, and semi-supervised learning problems using structured, unstructured, and time-series data. Fine-tune foundation models for specialized use cases requiring high interpretability and performance. Platform Integration Develop and deploy models on AryaXAI’s platform to serve real-time or batch inference needs. Leverage explainability tools (e.g., DLBacktrace, SHAP, LIME, or AryaXAI’s native xai_evals stack) to ensure transparency and regulatory compliance. Design pipelines for data ingestion, transformation, model training, evaluation, and deployment using MLOps best practices. Enterprise AI Architecture Collaborate with product and engineering teams to implement scalable and compliant ML pipelines across cloud and hybrid environments. Contribute to designing secure, modular AI workflows that meet enterprise needs—latency, throughput, auditability, and policy constraints. Ensure models meet strict regulatory and ethical requirements (e.g., bias mitigation, traceability, explainability). Requirements : 3+ years of experience building ML systems in production, ideally in regulated or enterprise environments. Strong proficiency in Python , with experience in libraries like scikit-learn, XGBoost, PyTorch, TensorFlow , or similar. Experience with end-to-end model lifecycle : from data preprocessing and feature engineering to deployment and monitoring. Deep understanding of enterprise ML architecture —model versioning, reproducibility, CI/CD for ML, and governance. Experience working with regulatory, audit, or safety constraints in data science or ML systems. Familiarity with ML Ops tools (MLflow, SageMaker, Vertex AI, etc.) and cloud platforms (AWS, Azure, GCP). Strong communication skills and an ability to translate technical outcomes into business impact. Bonus Points For Prior experience in regulated industries : banking, insurance, energy, or critical infrastructure. Experience with time-series modeling , anomaly detection, underwriting, fraud detection or risk scoring systems. Knowledge of RAG architectures , generative AI , or foundation model fine-tuning . Exposure to privacy-preserving ML , model monitoring , and bias mitigation frameworks. What You’ll Get Competitive compensation with performance-based upside Comprehensive health coverage for you and your family Opportunity to work on mission-critical AI systems where your models drive real-world decisions Ownership of core components in a platform used by top-tier enterprises Career growth in a fast-paced, high-impact startup environment Remote-first, collaborative, and high-performance team culture If you’re excited to build data science solutions that truly matter , especially in the most demanding industries, we want to hear from you.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. United Health Group is a leading health care company serving more than 85 million people worldwide. The organization is ranked 5th among Fortune 500 companies. UHG serves its customers through two different platforms - United Health Care (UHC) and Optum. UHC is responsible for providing healthcare coverage and benefits services, while Optum provides information and technology enabled health services. India operations of UHG are aligned to Optum. The Optum Global Analytics Team, part of Optum, is involved in developing broad-based and targeted analytics solutions across different verticals for all lines of business. Primary Responsibilities Work on business analysis requests around different business problems Creating analytical findings for the internal clients of UHG as per specifications received from them using information in UHG Specific databases Work with Senior team members to develop new capabilities for the team Being Accountable Possess Achievable Drive Passionate about solution or product development Looks forward to build and apply technical and functional skills Focuses on understanding Goals, Priorities and Plans Possess problem solving approach Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelors or 4+ years of university degree 2+ years of Experience with below mentioned Skills 2+ years of business experience in analytics, machine learning projects in Business Intelligence/Business Analysis space Experience of GenAI with advanced artificial intelligence technologies and methodologies End to end experience in designing and deploying models and look out end to end productionize pipeline Good knowledge around Predictive & Prescriptive Analytics techniques like Hypothesis testing, Probability, Supervised & Unsupervised Learnings Good understanding of analytics tools: R, Python, SQL, Databricks & cloud technologies Deep understanding on Responsible use of AI Understanding on bias detection and mitigation strategy Processing and good to have fundamental understanding on Gen-AI & Large Language Models Proven solid problem-solving skills Proven excellent understanding of basic statistics and advance mathematics to analyze and understand data patterns Proven ability to learn and adapt to new data technologies Proven ability in slicing and dicing of data structures, Natural Language Proven good problem-solving & communication skills Preferred Qualifications Certified in Azure Cloud (AZ-900) Proven excellent time management & communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Title: Data Scientist – AIML, GenAI & Agentic AI Location: Pune/ Bangalore/ Indore/ Kolkata Job Type: Full-time Experience Level: 4+ Years NP : Immediate Joiner OR15 Days Max Job Description We are seeking a highly skilled and innovative Data Scientist / AI Engineer with deep expertise in AI/ML, Generative AI, and Agentic AI frameworks to join our advanced analytics and AI team. The ideal candidate will possess a robust background in data science and machine learning, along with hands-on experience in building and deploying end-to-end intelligent systems using modern AI technologies including RAG (Retrieval-Augmented Generation), LLMs, and agent orchestration tools. Key Responsibilities Design, build, and deploy machine learning models and Generative AI solutions for a wide range of use cases (text, vision, and tabular data). Develop and maintain AI/ML pipelines for large-scale training and inference in production environments. Leverage frameworks such as LangChain, LangGraph, CrewAI for building Agentic AI workflows. Fine-tune and prompt-engineer LLMs (e.g., GPT, BERT) for enterprise-grade RAG and NLP solutions. Collaborate with business and engineering teams to translate business problems into AI/ML models that deliver measurable value. Apply advanced analytics techniques such as regression, classification, clustering, sequence modeling, association rules, computer vision, and NLP. Architect and implement scalable AI solutions using Python , PyTorch , TensorFlow , and cloud-native technologies. Ensure integration of AI solutions within existing enterprise architecture using containerized services and orchestration (e.g., Docker, Kubernetes). Maintain documentation and present insights and technical findings to stakeholders. Required Skills and Qualifications Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, or related field. Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, etc. Extensive experience with deep learning frameworks : PyTorch and TensorFlow. Proven experience with Generative AI , LLMs , RAG , BERT , and related architectures. Familiarity with LangChain , LangGraph , and CrewAI and strong knowledge of agent orchestration and autonomous workflows. Experience with large-scale ML pipelines , MLOps practices, and cloud platforms (AWS, GCP, or Azure). Deep understanding of software engineering principles , design patterns, and enterprise architecture. Strong problem-solving, analytical thinking, and debugging skills. Excellent communication, presentation, and cross-functional collaboration abilities. Preferred Qualifications Experience in fine-tuning LLMs and optimizing prompt engineering techniques. Publications, open-source contributions, or patents in AI/ML/NLP/GenAI. Experience with vector databases and tools such as Pinecone, FAISS, Weaviate, or Milvus. Why Join Us? Work on cutting-edge AI/ML and GenAI innovations. Collaborate with top-tier scientists, engineers, and product teams. Opportunity to shape the next generation of intelligent agents and enterprise AI solutions. Flexible work arrangements and continuous learning culture. To Apply: Please submit your resume and portfolio of relevant AI/ML work (e.g., GitHub, papers, demos) to Shanti.upase@calsoftinc.com

Job Description: RWE generation acts as the critical bridge from clinical effectiveness to a commercially viable brand. At MC Analytics, clinical and commercial disciplines work together, sharing insights and knowledge. It is never too early to consider commercialization in the drug development process. That’s why we are committed to working with you to design, develop and deliver fully integrated Real World Evidence ready for the peri-approval setting that collects the right data to ensure launch success. Desired Qualification & Skills : · 3+ years of hands-on experience in Data Science/Engineering. · Strong proficiency in R and/or Python programming, along with solid command-line skills. · Proficiency in building and maintaining ETL pipelines. · Experiences on building data models, data harmonization and quality control · Good understanding of the Healthcare domain. · Knowledge of OMOP and/or CDISC standards (STDM, ADaM) (preferred) · Strong communication and interpersonal skills, a detail-oriented approach, a problem-solving mindset, and the ability to learn quickly. · Prior experience in statistical programming, genomic data analysis, NLP applications on healthcare datasets and data visualization would be a valuable asset.

Skill Data Science - AI Data Science - ML Minimum Qualification B.Tech/B.E CERTIFICATION No data available Working Language English Job Description Data Analyst with AI/ML expertise responsible for leveraging advanced data analytics, statistical techniques, and machine learning (ML) methodologies to provide actionable insights, optimize business processes, and support data-driven decision-making. The role requires strong collaboration with IT leadership to align analytics initiatives with organizational goals, as well as mentoring junior team members in data analysis and AI/ML practices

Role & responsibilities Role Overview We are seeking a Senior Associate Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 6 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future. Shift:11am-8pm

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What You'll Be Doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business. Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 4+ years Shift Timin gs: 2PM-11PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

* Strong programming skills in Python, including knowledge of libraries like NumPy, Pandas, Matplotlib, and Seaborn. * Proficiency in AI/ML frameworks: scikit-learn, TensorFlow, Keras, or PyTorch. *LLM

And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that well deliver on their needs for today while investing in experiences that will power their restaurant of the future, Breadyto make a change Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models, About this Roll*: Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance, Will actively engage in code reviews and comprehensive data quality assessments, ensuring that all development data pipelines and code meet the highest standards of reliability, accuracy, and readiness for seamless production deployment Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives, Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices, Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed, Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization, Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team, Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities, Do you have the right ingredients* Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline 10+ years of experience in data science, with a focus on credit risk modeling in retail lending space (consumer or small business) and lending growth strategies, preferably within the fintech lending space, Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting, Familiarity with the US model risk management policies such as SR 11-7 that govern the lending models is strongly preferred, Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry, Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders, Strong leadership skills, with experience mentoring and guiding junior data scientists Bonus ingredients*: Passion for research and curiosity that calls you to go beyond good enough to create something innovative and exciting Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders Work Mode: This role follows a hybrid work model, requiring a minimum of 2 days per week in the office, Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredientwhen they thrive, we thrive The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences, We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs Our goal is to build a strong culture of connection as we work together to empower the restaurant community To learn more about how we work globally and regionally, check out: https://careers toasttab,/locations-toast, Apply today! Toast is committed to creating an accessible and inclusive hiring process As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process

We are seeking a Senior Data Scientist with strong engineering skills and hands-on experience in Python , FastAPI , and asynchronous programming , along with a deep understanding of LLM orchestration frameworks like LangChain and LangGraph . The ideal candidate should have proven experience designing and deploying agentic AI systems using frameworks such as A2A and CrewAI . This role combines data science expertise with backend development and generative AI innovations, driving impactful solutions across domains. Key Responsibilities: Design and deploy intelligent applications using LLMs with LangChain and LangGraph. Build and orchestrate agentic workflows using A2A, CrewAI, or similar frameworks. Develop robust, scalable APIs using FastAPI and async programming. Implement end-to-end pipelines that integrate AI agents with external APIs, databases, and tools. Conduct prompt engineering, memory management, retrieval augmentation, and tool integration. Evaluate and improve model performance through experimentation and fine-tuning. Collaborate with ML engineers, product managers, and backend developers to deliver AI-powered features. Stay abreast of the latest advancements in the LLM, agentic AI, and multi-agent system space. Required Skills & Experience: Strong Python programming expertise (6+ years). Experience building REST APIs with FastAPI and handling async/await operations. Deep understanding of LLM frameworks like LangChain , LangGraph , or custom agent frameworks. Experience with multi-agent orchestration frameworks like AutoGen , A2A , CrewAI , etc. Experience in prompt engineering , RAG (retrieval-augmented generation) , and vector DBs (e.g., FAISS, Pinecone). Good grasp of architectural patterns for scalable AI applications. Knowledge of common LLM APIs (e.g., OpenAI, Anthropic, Cohere).