mle - 2

2 weeks ago

Bengaluru, Karnataka, India Pibit Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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About

is transforming the underwriting landscape with
Generative AI
. Our
SaaS
solutions

help insurance companies in the US make
smarter, faster decisions
by optimizing

underwriting processes, reducing risk, and improving premiums. As we expand, we're

looking for a
Machine Learning Engineer - 2
to build NLP, CV & LLM based solutions and

generate value for our customers.

Position Overview

As a MLE-2, you will design, implement, and optimize AI solutions while ensuring

model success. You will lead the ML lifecycle from development to deployment,

collaborate with cross-functional teams, and enhance AI capabilities to drive

innovation and impact.

Key Responsibilities:

  • Design and implement AI product features.
  • Maintain and optimize existing AI systems.
  • Train, evaluate, deploy, and monitor ML models.
  • Design ML pipelines for experiment, model, and feature management.
  • Implement A/B testing and scalable model inferencing APIs.
  • Optimize GPU architectures, parallel training, and fine-tune models for improved performance.
  • 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:

  • Collaborate with cross-functional teams to design and build scalable ML solutions.
  • Implement state-of-the-art ML techniques, including NLP , Generative AI, RAG, and Transformer architectures.
  • Deploy and monitor ML models for high performance and reliability.
  • Innovate through research, staying ahead of industry trends.
  • Build scalable data pipelines following best practices.
  • Present key insights and drive decision-making.

What You Need to Succeed:

  • Master's degree or equivalent experience in Machine Learning.
  • 3+ years of industry experience in ML, software engineering, and data engineering.
  • Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong programming skills in Python and JavaScript.
  • Hands-on experience with ML Ops practices.
  • Ability to work with research and product teams.
  • Excellent problem-solving skills and a track record of innovation.
  • Passion for learning and applying the latest technological advancements.

Why Join Us?

  • Work directly with experienced founders.
  • Be part of a high-energy team that works hard and celebrates success.
  • Shape the future of AI-driven automation in the insurance industry.

Website
-

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