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Job Description

Location : Pune, Onsite

Job Summary :

We are seeking a Machine Learning Engineer with 3-5 years of 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 :

- 4-7 years of experience in ML/AI with at least 1 year in GenAI.

- 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 :

- Experience with cloud platforms (Azure preferred).

- Exposure to classical ML or DL in production.

- Prior experience in early-stage/startup environments.

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