Location: Onsite - Bengaluru
Company: Pibit.ai :
Y Combinator backed Insurtech Startup transforming the underwriting landscape with Generative AI. Our SaaS solutions help US-based insurance companies make smarter, faster decisions by optimizing underwriting processes, reducing risk, and improving premiums. We're looking for a Machine Learning Engineer - 1 to help us build and scale cutting-edge NLP, Computer Vision, and LLM-based solutions that generate real business value for our customers.
Position Overview
As an MLE-1, you'll work closely with senior ML engineers to develop, train, and deploy AI models that power our core products. This is a hands-on role focused on building, experimenting, and learningperfect for someone who's excited to grow into a strong ML engineer in a fast-moving startup.
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 workflowsfrom 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.
- 12 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. Why Join Us
- 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.
- Contribute to building AI-first products shaping the future of insurance tech.
- Enjoy a culture that celebrates both hard work and
Skills: generative ai,docker,scikit-learn,pytorch,agentic ai,sql,python,tensorflow
