Machine Learning Engineer – 2

HYrEzy Tech Solutions; Bengaluru; On-site; INR 2,000,000 - 2,500,000; Full time

Benefits offered by this job

Opportunity to innovate with state-of-the-art AI/LLM tech

Work with a high-caliber founding team

Real market traction

Ownership and visibility in a product-focused role

Job summary

A fast-growing tech startup in Bengaluru is looking for a Machine Learning Engineer – 2. In this role, you will design and develop scalable ML solutions utilizing NLP, Computer Vision, and LLM technologies. The ideal candidate has 3-6 years of experience in machine learning, a Master’s degree, and expertise in Python with a hands-on background in ML tools like PyTorch and TensorFlow. This is an onsite position with a focus on collaborative teamwork in a dynamic environment.

Qualifications

• 3–6 years of experience in Machine Learning and software/data engineering.
• Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn.
• Familiarity with ML Ops, model deployment, and production pipelines.

Responsibilities

• Design and develop robust AI product features aligned with user needs.
• Build and manage ML pipelines for training and deployment.
• Collaborate with cross-functional teams to deliver AI solutions.

Skills

Python

Machine Learning

NLU

NLP

Computer Vision

Education

Master’s degree in ML, AI, or related technical fields

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

1 week ago Be among the first 25 applicants

Base pay range

This range is provided by HYrEzy Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Job Title: Machine Learning Engineer – 2

• Location: Onsite – Bengaluru, Karnataka, India
• Experience Required: 3 – 6 Years
• Compensation: ₹20 – ₹25 LPA
• Employment Type: Full-Time
• Work Mode: Onsite Only (No Remote)

About the Company: A fast-growing Y Combinator-backed SaaS startup is revolutionizing underwriting in the insurance space through AI and Generative AI. Their platform empowers insurance carriers in the U.S. to make faster, more accurate decisions by automating key processes and enhancing risk assessment. As they expand their AI capabilities, they’re seeking a Machine Learning Engineer – 2 to build scalable ML solutions using NLP, Computer Vision, and LLM technologies.

Role Overview: As a Machine Learning Engineer – 2, you\'ll take ownership of designing, developing, and deploying ML systems that power critical features across the platform. You\'ll lead end-to-end ML workflows, working with cross-functional teams to deliver real-world AI solutions that directly impact business outcomes.

Key Responsibilities

• Design and develop robust AI product features aligned with user and business needs
• Maintain and enhance existing ML/AI systems
• Build and manage ML pipelines for training, deployment, monitoring, and experimentation
• Deploy scalable inference APIs and conduct A/B testing
• Optimize GPU architectures and fine-tune transformer/LLM models
• Build and deploy LLM applications tailored to real-world use cases
• Implement DevOps/ML Ops best practices with tools like Docker and Kubernetes

Tech Stack & Tools

Machine Learning & LLMs

• GPT, LLaMA, Gemini, Claude, Hugging Face Transformers
• PyTorch, TensorFlow, Scikit-learn

LLMOps & MLOps

• Langchain, LangGraph, LangFlow, Langfuse
• MLFlow, SageMaker, LlamaIndex, AWS Bedrock, Azure AI

Cloud & Infrastructure

• AWS, Azure
• Kubernetes, Docker

Databases

• MongoDB, PostgreSQL, Pinecone, ChromaDB

Languages

• Python, SQL, JavaScript

What You’ll Do

• Collaborate with product, research, and engineering teams to build scalable AI solutions
• Implement advanced NLP and Generative AI models (e.g., RAG, Transformers)
• Monitor and optimize model performance and deployment pipelines
• Build efficient, scalable data and feature pipelines
• Stay updated on industry trends and contribute to internal innovation
• Present key insights and ML solutions to technical and business stakeholders

Requirements

Must-Have

• 3–6 years of experience in Machine Learning and software/data engineering
• Master’s degree (or equivalent) in ML, AI, or related technical fields
• Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn
• Familiarity with ML Ops, model deployment, and production pipelines
• Experience working with LLMs and modern NLP techniques
• Ability to work collaboratively in a fast-paced, product-driven environment
• Strong problem-solving and communication skills

Bonus

• Certifications such as:
• AWS Machine Learning Specialty
• AWS Solution Architect – Professional
• Azure Solutions Architect Expert

Why Apply

• Work directly with a high-caliber founding team
• Help shape the future of AI in the insurance space
• Gain ownership and visibility in a product-focused engineering role
• Opportunity to innovate with state-of-the-art AI/LLM tech
• Be part of a fast-moving team with real market traction

Note: This is an onsite-only role based in Bengaluru. Remote work is not available.

Note: This posting includes information relevant to onsite job expectations and qualifications.

Skills: nlp, llm technologies, computer vision, mongodb, tensorflow, javascript, llm, a/b testing, ml ops, sql, python, pinecone, software/data engineering, machine learning, postgresql, pytorch, kubernetes, aws, azure, devops, llms and modern nlp techniques, python, pytorch/tensorflow, and scikit-learn, scikit-learn, chromadb, mlops, docker, llms, ml, ai, model deployment

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet

Referrals increase your chances of interviewing at HYrEzy Tech Solutions by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

Machine Learning Scientist I, Predictive Search & Guidance

AI/ML Engineer – XR Software (All levels))

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.