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Nameless

Pibit.AI-Machine Learning Engineer (Bengaluru)

Nameless

Bengaluru, Karnataka, India
Full-Time
Posted 29 days ago

Job Description & Responsibilities

Job Title: Machine Learning Engineer

Location : Bangalore

Exp : 2+ Years

Position Overview

As a Senior Machine Learning Engineer, 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 Skilled 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.

2+ 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.

https://pibit.ai/ .

Required Skills

JavaScriptPythonAWSAzureDockerKubernetesSQLMongoDBMachine LearningNLP

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience27 years
Positions1

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Posted on:

31 Jul 2026

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