AI/ML Engineer Gen AI

Best NanoTech

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A leading technology solutions provider in Bengaluru seeks an AI/ML Engineer to lead the development and deployment of machine learning models. This role involves designing state-of-the-art algorithms, collaborating with cross-functional teams, and utilizing tools like Docker and Kubernetes for deployment. Ideal candidates should have over 3 years of experience in machine learning, strong Python skills, and familiarity with various cloud platforms. Competitive compensation and growth opportunities await dedicated individuals ready to tackle challenging problems.

Qualifications

3+ years of hands-on experience in Machine Learning or Data Science.
Expert proficiency in Python with a strong grasp of PyTorch or TensorFlow.
Solid understanding of math/stats including Linear Algebra and Probability.
Experience with APIs (FastAPI/Flask) and cloud platforms (AWS/GCP/Azure).

Responsibilities

Build and fine-tune state-of-the-art models for specific use cases.
Collaborate with the DevOps team to containerize and deploy models.
Experiment with Large Language Models (LLMs) and drive GenAI initiatives.
Build robust training pipelines and feature stores with Data Engineers.
Implement MLOps tools to track model drift and performance.

Skills

Machine Learning

Python

PyTorch

TensorFlow

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Direct message the job poster from Best NanoTech

Electronics & Semiconductor Expert | Business Development | Transforming Technical Solutions into Commercial Success

We are a team of builders, dreamers, and data geeks. We don’t just use AI as a buzzword; it is the core engine of our product.

The Role We are looking for an AI/ML Engineer who cares about code quality as much as model accuracy. You won’t just be tweaking hyperparameters; you will own the full lifecycle of ML development—from raw data to real-time inference in production.

If you love solving hard problems and want to see your algorithms impact thousands of users daily, this is the seat for you.

What You’ll Build (Responsibilities)

Design & Develop: Build and fine-tune state-of-the-art models for [specific use case, e.g., NLP, fraud detection, image recognition].
Productionize: Work with the DevOps team to containerize and deploy models using Docker/Kubernetes.
LLM Integration: Experiment with Large Language Models (LLMs), RAG pipelines, and prompt engineering to drive our new GenAI initiatives.
Data Pipelines: Collaborate with Data Engineers to build robust training pipelines and feature stores.
Monitor: implement MLOps tools to track model drift and performance in the wild.

What You Bring (Requirements)

Experience: 3+ years of hands‑on experience in Machine Learning or Data Science.
Tech Stack: Expert proficiency in Python. Strong grasp of PyTorch or TensorFlow.
Foundations: Solid understanding of math/stats (Linear Algebra, Probability, Optimization algorithms).
Engineering: Experience with APIs (FastAPI/Flask) and cloud platforms (AWS/GCP/Azure).
Bonus Points: Experience with vector databases (Pinecone, Milvus) or Hugging Face transformers.