Machine Learning Engineer I/II

Position Title : Machine Learning Engineer (Level 1 & Level 2)

Location : Bangalore (Onsite)

About the Company :

A fast-growing Y Combinator-backed Insurtech startup focused on revolutionizing the insurance underwriting process through state-of-the-art Generative AI, NLP, Computer Vision, and LLM solutions. The SaaS products enable US insurance companies to make smarter, faster decisions, optimize underwriting, reduce risks, and appropriately price premiums.

Position Summary :

We are looking for passionate Machine Learning Engineers at two levels - MLE-1 and MLE-2 - to join our dynamic Bangalore team and contribute to building and scaling AI-driven solutions. This role involves hands-on model development, experimentation, deployment, and optimization, working closely with senior engineers and cross-functional teams. You will have the opportunity to build scalable ML pipelines, fine-tune cutting-edge LLMs, and design NLP and computer vision applications tailored to real business challenges.

Key Responsibilities :

- Collaborate with senior engineers and stakeholders to design and realize AI product features.

- Train, fine-tune, evaluate, and deploy ML and LLM models effectively.

- Build and maintain scalable ML pipelines for experimentation, model management, and deployment.

- Optimize model performance including GPU utilization, parallel training, and other scaling methods.

- Develop and enhance LLMOps and MLOps infrastructure incorporating Kubernetes, Docker, and cloud services.

- Implement APIs for scalable model inference with robust monitoring and testing strategies.

- Apply best practices in DevOps, including container orchestration, continuous integration, and deployment.

- Stay abreast of industry trends and contribute innovative ideas and research into production-level solutions.

- Specifically tailor LLM solutions for insurance underwriting and related use cases.

Technical Skills & Tools :

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

- LLMOps Platforms : MLFlow, LangChain, LangGraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI.

- Databases : MongoDB, PostgreSQL, Pinecone, ChromDB.

- Cloud Platforms : AWS, Azure.

- DevOps & Orchestration : Kubernetes, Docker, Helm, CI/CD pipelines.

- Programming Languages : Proficiency in Python, SQL, and JavaScript.

- Preferred Certifications (Optional) : AWS Professional Solutions Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.

Experience & Qualifications :

- Machine Learning Engineers, Level 1 : 12 years of experience in ML, software engineering, or data science roles (internships count). Bachelors or Masters degree in Computer Science, Machine Learning, or related field required.

- Machine Learning Engineers, Level 2 : Minimum 3 years of professional industry experience. Masters degree preferred or equivalent experience in ML or software engineering. Demonstrated expertise in production-grade ML deployments and ability to lead ML lifecycle management.

Why Join Us?

- Direct mentorship and collaboration with experienced founders and senior ML engineers.

- Be part of a high-energy, innovative startup environment focused on AI in the insurance industry.

- Opportunity to work hands-on with cutting-edge Generative AI, NLP, and Computer Vision technologies.

- Career growth and learning within a startup culture that celebrates innovation, collaboration, and success.

Additional Details :

- No remote work; fully onsite in Bangalore.

- Competitive salary based on role and experience within ?20 LPA (MLE-1) to ?30 LPA (MLE

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