Associate ML

3 weeks ago

Pune, India Imocha Full time

Location: Pune, Onsite(WFO)
Department: Engineering / Data & AI
Reports To: Associate Director of Engineering

Job Summary
We are seeking an Associate Machine Learning Engineer of exposure and experience in developing AI solutions, including Generative AI, classical ML models, and data engineering pipelines. You will play a hands-on role in building and deploying scalable ML and GenAI applications.

Key Responsibilities -
Generative AI Development
- Design and implement applications using large language models (LLMs).
- Optimize prompts using techniques such as Chain of Thought, Few-Shot Learning, and RAG.
- Build scalable APIs and pipelines for GenAI-powered features.
Machine Learning Engineering
- Build and deploy ML models (classification, regression, recommendation, etc.).
- Apply MLOps practices for model training, testing, deployment, and monitoring.
Data Engineering
- Build and maintain data pipelines using Python and cloud-native tools.
- Ensure availability, scalability, and quality of data used in AI workflows.
- Work closely with backend and other engineering teams to integrate data systems.
Model Deployment & Maintenance
- Deploy ML models via APIs, containers, or cloud services.
- Monitor production models and optimize their performance and scalability.

Qualifications Required:
- Exposure GenAI and ML/AI projects would be plus .
- Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI).
- Strong skills in building APIs and deploying AI solutions.
- Experience in data pipeline development.

Preferred:
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
- Exposure to classical ML or DL in production.
- Prior experience in early-stage/startup environments
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
Understanding of cloud platforms (Azure preferred).

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