Machine Learning Engineer

3 days ago

Bengaluru, Karnataka, India HYrEzy Tech Solutions Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Location: Onsite - Bengaluru

Company: :

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 learning—perfect 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 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. 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

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