Job Description

Description

We’re looking for a Machine Learning Engineer specializing in Generative AI (GenAI) to design, build, and deploy scalable AI systems that transform how we leverage data and automation across the business. You’ll work at the intersection of machine learning, large language models (LLMs), and software engineering, helping bring research prototypes into production and driving tangible impact through applied AI solutions.

Key job responsibilities

  • Design, develop, and deploy ML models, GenAI solutions (e.g., LLM-based assistants, summarization, classification, retrieval-augmented generation).
  • Build and optimize end-to-end ML pipelines — from data ingestion and feature engineering to model training and deployment.
  • Collaborate with scientists and product teams to operationalize models and integrate them with internal tools and workflows.
  • Implement MLOps and LLMOps best practices including model versioning, CI/CD, model evaluation, monitoring, and retraining.
  • Fine-tune, evaluate, and optimize large language models (OpenAI, Anthropic, Hugging Face, etc.) for business-specific use cases.
  • Develop APIs and backend integrations to embed ML/GenAI capabilities into customer-facing and internal applications.
  • Ensure model quality, security, and compliance with responsible AI principles — including bias mitigation and data privacy.
  • Stay current with emerging trends in GenAI and applied ML, and drive adoption of new techniques and frameworks across the team.

A day in the life

Role

In this role you will leverage your engineering background and expertise in ML to lead developing foundational behavioral model for Amazon Stores using LLM and Large Model training techniques. On a day-to-day basis, you will:

  • Lead the design and implementation of a stable and efficient training infrastructure that scales to a large model size and hardware such as GPU.
  • Collaborate with other talented applied scientists and engineers to develop an improved training infrastructure that accelerates innovation.
  • Quickly learn latest technologies and algorithms in the field of Generative AI.

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelors degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI HYD 13 SEZ

Job ID: A3129073


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Hyderabad ,Telangana
Company Website: https://www.aboutamazon.com/ Job Function: Research & Innovation
Company Industry/
Sector:
Software Development

What We Offer


About the Company

Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.

Report

Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.


Recent Jobs
View More Jobs
Talentmate Instagram Talentmate Facebook Talentmate YouTube Talentmate LinkedIn