Data Scientist
Pune, Maharashtra, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
Coordinate team tasks, assist in project management, handle customer inquiries, and prepare reports. - Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field. - 4+ years of total professional experience in AI/ML, Data Science, or related fields.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases. Bachelor's/Master's in Engineering 2-5 years
Tools in this posting
- Python
- SQL
- MongoDB
- Neo4j
- PyTorch
- PostgreSQL
- TensorFlow
Source — Tool mentions in context
- 4+ years of total professional experience in AI/ML, Data Science, or related fields. - 3+ years of hands-on experience in Python with strong software engineering practices. - At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance. - Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB. - Implement graph databases (Neo4j) for knowledge graph-based use cases.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling. - Practical knowledge of SQL, No-SQL, vector databases, and graph databases. Bachelor's/Master's in Engineering 2-5 years
- Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB. - Implement graph databases (Neo4j) for knowledge graph-based use cases. - Provide technical leadership and mentorship to engineering teams.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI. - Hands-on experience with deep learning frameworks (PyTorch, TensorFlow). - Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 1d ago
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
- Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.
- Architect and optimize scalable APIs (REST/WebSocket) for production deployment.
- Develop, fine-tune, and integrate large language models into enterprise applications.
- Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.
- Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB.
- Implement graph databases (Neo4j) for knowledge graph-based use cases.
- Provide technical leadership and mentorship to engineering teams.
- Collaborate with cross-functional stakeholders to identify and deliver GenAI solutions across multiple business domains.
- Ensure robustness, security, and compliance of deployed AI systems.
- Stay current with trends in GenAI, deep learning, and orchestration frameworks.
- Document and present technical solutions to both technical and non-technical audiences.
- Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks.
- Experience with multi-agent systems and orchestration of intelligent workflows.
- Knowledge of MLOps practices (CI/CD, model monitoring, retraining pipelines).
- Strong problem-solving skills and ability to thrive in fast-paced R&D environments.
- Contributions to open-source AI/ML projects or published research in generative AI.
Coordinate team tasks, assist in project management, handle customer inquiries, and prepare reports.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field.
- 4+ years of total professional experience in AI/ML, Data Science, or related fields.
- 3+ years of hands-on experience in Python with strong software engineering practices.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
- Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
- Proven track record of deploying at least 3 GenAI/Agentic AI projects into production.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases.
Bachelor's/Master's in Engineering 2-5 years
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.