Machine Learning Engineer/Generative AI Engineer

Location : Bangalore, India

Experience : 3-5 Years

Work Mode : Hybrid (2-3 days in-office)

Notice Period : Immediate joiners or those who can join within 15 days

What You'll Work On :

- Design and build end-to-end ML pipelines: data preprocessing, feature engineering, model training, and deployment.

- Develop and optimize distributed data processing workflows using Spark/PySpark.

- Build and scale deep learning models for structured and unstructured data (text, images, etc.).

- Work with LLMs, RAG pipelines, and vector databases for GenAI use cases.

- Collaborate with cross-functional teams (Data Scientists, MLOps, Product) to ship models to production.

- Implement CI/CD for ML models and maintain model versioning and monitoring systems.

- Conduct experiments, model tuning, and performance evaluations using large-scale datasets.

- Stay updated on the latest trends in ML, GenAI, and distributed systems to drive innovation.

Required Skills :

- 3-5 years of industry experience in Machine Learning, AI, or Applied Data Science roles.

- Hands-on experience with LLMs, embeddings, vector search, and RAG architectures.

- Exposure to production-grade ML systems, including Docker, FastAPI, Airflow, or MLflow.

- Solid understanding of ML evaluation, feature engineering, and model monitoring in real-world systems.

Education :

- Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Data Science, or related field.