Senior AI/ML Data Engineer
Innovecture (company site, opens in a new tab)8+ yrsPuneRemoteDirect career pageEst. 22–38 LPA
Posted 15h ago
Reach people at Innovecture
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Innovecture you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and optimization of ML models including classification, regression, and NLP.
- Build and manage end-to-end ML model training, validation, and deployment pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Develop and maintain data pipelines and ETL processes handling structured and unstructured data from diverse sources.
Minimum Requirements
- 8+ years of relevant experience in AI/ML and data engineering.
- Strong proficiency in Python; PySpark experience is a plus.
- Hands-on experience with ML model lifecycle including training, validation, deployment, and MLOps practices.
- Immediate availability (Notice Period: Immediate).
Ideal Candidate Profile
- Experienced in building Generative AI applications and prompt engineering, preferably with LangChain or similar frameworks.
- Familiarity with SQL/NoSQL databases, cloud data warehouses, and optionally with Agentic AI applications.
- Comfortable mentoring junior engineers and collaborating across data science, software engineering, and business teams.