Job Summary
Core Data Science + Python + scikit-learn + deep learning framework + MLOPS
- strong core data science and machine learning experience,
- solid Python + scikit-learn + deep learning framework skills,
· Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras
- Hands-on experience delivering real-world data science and machine learning solutions.
- Strong understanding of statistical analysis, machine learning, and model evaluation.
- practical experience building or supporting LLM / Generative AI use cases,
- familiarity with prompt engineering, RAG, embeddings, and LLM evaluation,
- and strong ability to work across business and technical teams.
Preferred candidates will also bring:
- MLOps / cloud / deployment experience,
- experience in regulated or manufacturing/pharma settings,
- and practical delivery of production GenAI applications.
Key Responsibilities
2. Collaborate with cross functional teams to gather requirements and design technical solutions.
3. Develop and implement data models, etl processes, and data pipelines using google bigquery, sql, python, and google dataflow.
4. Ensure data integrity, quality, and security in all technical solutions.
5. Provide technical guidance and mentorship to team members.
6. Conduct code reviews, performance optimizations, and troubleshooting as needed.
7. Stay updated on industry trends and best practices related to data management and analytics.
Skill Requirements
2. Strong expertise in sql for data querying and manipulation.
3. Advanced skills in python programming for data processing and analysis.
4. Experience with google dataflow for designing and executing data pipelines.
5. Proficiency in ca erwin data modeler for data modeling and database design.
6. Strong analytical and problem-solving skills.
7. Excellent communication and leadership abilities to effectively lead technical teams.