Job Description :

Title : Machine Learning Engineer

Location : Bangalore

Must Have :

Key Responsibilities :

- Collaborate with senior ML engineers to design and implement AI product features.

- Train, evaluate, and fine-tune ML and LLM models under guidance.

- Support the development and maintenance of scalable ML pipelines and APIs.

- Assist in data preprocessing, feature engineering, and model evaluation.

- Participate in code reviews, testing, and performance optimization.

- Help deploy and monitor ML models in production environments.

- Learn and apply best practices in LLMOps, DevOps, and cloud deployment.

- Contribute to documentation and internal knowledge-sharing.

- Deploy LLM solutions tailored to specific use cases.

- Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks.

Technical Requirements :

- LLM & ML: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama

- LLMOps: MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI

- Databases: MongoDB, PostgreSQL, Pinecone, ChromDB - Cloud: AWS, Azure - DevOps: Kubernetes, Docker

- Languages: Python, SQL, JavaScript

- Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

What You'll Do :

- Work on real-world Generative AI and NLP applications for the insurance domain.

- Build and deploy LLM-based pipelines using modern frameworks.

- Gain hands-on experience with cloud ML infrastructure.

- Learn how to manage end-to-end ML workflows-from experimentation to deployment.

- Collaborate with cross-functional teams (data, backend, product).

- Contribute to improving model accuracy, reliability, and scalability. What You Need to Succeed:

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

- 1-2 years of experience in ML, data science, or related software engineering roles (internships count).

- Strong understanding of ML fundamentals, deep learning architectures, and data processing.

- Experience building or fine-tuning models using Python ML frameworks.

- Curiosity, problem-solving mindset, and eagerness to learn new technologies

- Ability to work collaboratively in a fast-paced, high-impact environment.

- Work directly with experienced founders and senior engineers.

- Get hands-on mentorship in advanced ML and LLMOps.

- Be part of a high-energy team that values learning and innovation.