
Senior Data Scientist
4 days ago
Job Title: Senior Data Scientist
Location: Pune, India
Experience: 6+ years
About Edgematics Group:
Edgematics Group is a leading global consulting and solutions integrator in data management, business intelligence, and analytics. We specialize in delivering end-to-end data management solutions that empower organizations to make data-driven decisions and achieve their strategic objectives. To know more, visit
About the Role
We are seeking an accomplished and innovative Senior Data Scientist with expertise in designing, developing, and deploying advanced AI/ML solutions on cloud platforms. The ideal candidate will have hands-on experience in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI, with a proven track record of leading end-to-end AI/ML projects and delivering scalable production-ready applications.
Key Responsibilities
- Lead the design, architecture, and deployment of AI/ML solutions for complex business challenges.
- Develop, train, and optimize ML, DL, NLP, Computer Vision, and Generative AI models.
- Architect and deploy Generative AI applications, including LLM integration, RAG systems, and text-to-image solutions.
- Build and optimize MLOps pipelines on AWS, GCP, or Azure to ensure scalability, automation, and production readiness.
- Implement cloud-native AI solutions using platforms such as AWS SageMaker, AWS Bedrock, and GCP Vertex AI.
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise workflows.
- Design and deliver AI-driven systems such as risk management models, object detection solutions, and document extraction frameworks.
- Mentor and guide junior data scientists, fostering best practices in AI/ML development.
- Engage with clients and stakeholders to understand business requirements and translate them into AI solutions.
Required Qualifications
- 610 years of hands-on experience in Data Science, Machine Learning, and Statistical Modeling.
- Bachelors or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong proficiency in Python, SQL, and data science frameworks (NumPy, Pandas, Scikit-learn, etc.).
- Solid understanding of machine learning techniques and algorithms (GPTs, CNN, RNN, SVM, Random Forests, etc.).
- Hands-on experience with NLP, NLG, and Large Language Models (GPT, BERT, LLaMA, LaMDA, BLOOM, PaLM, DALL
•E, etc.). - Proven experience in building and deploying Generative AI applications, including LLMs, RAG systems, and text-to-image solutions.
- Knowledge of Docker, Git, and visualization tools (Tableau/Power BI).
- Experience in model deployment on cloud or on-prem environments.
- Exposure to Snowflake and hyperscaler platforms (AWS, Azure, GCP).
- Excellent problem-solving ability, leadership skills, and client/stakeholder management.
- Prior experience leading teams of 3–5 members across multiple AI/ML projects
If you're interested, send your resume to
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