Roles and Responsibilities
- Design, develop, and deploy large-scale data science solutions using Python, Machine Learning, Artificial Intelligence, Generative AI, Agentic AI, Data Bricks, Retrieve Augmented Generation, Large Language Model, Cloud Platforms (AWS/Azure/GCP), and CI/CD pipelines.
- Collaborate with cross-functional teams to identify business problems and design data-driven solutions that meet customer needs.
- Develop scalable data architectures to handle high-volume datasets from various sources.
- Ensure the quality of generated insights by implementing robust testing frameworks for machine learning models.
- Participate in code reviews to maintain high standards of coding best practices. Desired Candidate Profile




- 5-10 years of experience in Data Science Engineering or related field with expertise in at least two programming languages (Python/Java).
- Solid understanding of cloud computing platforms (AWS/Azure/GCP) and containerization technologies (Docker).
- Experience with DevOps tools such as Jenkins/GitLab CI/CD pipeline management. Skills Mandatory

Skills:
Python
- Data Science, Machine Learning, Gen AI, Databricks, Agentic AI/Open AI Secondary

skills:
SQL, RAG, LLM, Langchain/Langraph, Deep Learning

📌 Data Science Engineer (Mumbai)
🏢 Elabs Infotech
📍 Mumbai