Senior Machine Learning Engineer

YO It Consulting; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

YO It Consulting seeks a Senior ML engineer in Bangalore to design and implement innovative AI solutions. You will lead the ML lifecycle from development to deployment while collaborating with cross-functional teams to improve AI capabilities.

The ideal candidate has a Master's degree or equivalent in Machine Learning and 5 to 8 years of experience in ML and software engineering. Proficiency in Python, along with strong ML Ops acumen, is essential.

Qualifications

• 5+ years of industry experience in ML, software engineering, and data engineering.
• Strong programming skills in Python and JavaScript.
• Hands-on experience with ML Ops practices.

Responsibilities

• Design and implement AI product features.
• Train, evaluate, deploy, and monitor ML models.
• Collaborate with cross-functional teams to design scalable ML solutions.

Skills

Machine Learning Algorithms

Data Engineering

NLP

Python

JavaScript

Education

Masters degree or equivalent experience in Machine Learning

Tools

Kubernetes

Docker

AWS

Azure

MLFlow

Job description

Overview

JOB TITLE : Senior ML
Experience : 5 to 8 years
Location : Bangalore, Karnataka, India
:
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

• Masters 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.