Machine Learning Engineer / AI Engineer IRC303970

GlobalLogic; Dadri; A distancia; INR 1.800.000 - 3.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay and benefits

Family medical insurance

NPS (National Pension Scheme)

Annual bonuses

Paid time off and holidays

Flexible work schedules

Work from home options

Descripción de la vacante

GlobalLogic Inc. is seeking a seasoned AI/ML engineer to deliver production-grade GenAI/ML features, focusing on supply chain risk management. You will design and ship agentic workflows, implement retrieval/LLM layers, and own evaluation and rollout with cross-functional teams.

The role emphasizes latency/cost optimization, security, and collaboration with AI/Data/Product/Architect teams to bring AI into production. Remote-friendly with flexible work arrangements.

Formación

• 5+ years delivering production AI/ML systems; strong Python, SQL and software engineering fundamentals (tests, CI/CD, code reviews)
• Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration
• Model training/evaluation experience with reproducible pipelines and experiment tracking
• Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)
• AI security in practice: prompt-injection defenses and tool-permission scoping
• Ability to design clean APIs/services (e.g., FastAPI) and communicate trade-offs in English

Responsabilidades

• Ship production GenAI/ML features for supply chain risk management
• Design and ship agentic systems: tool-using and multi-agent workflows with human review
• Build the retrieval and LLM layer underneath optimized for latency and cost
• Own evaluation and rollout (LLM-as-judge, evals, A/B testing, model versioning)
• Operate AI in production (monitoring, quality metrics, drift detection)
• Work with AI engineers, Data Engineers, Product, and Architects to bring AI to production
• Work AI-native: agentic coding tools, repo-level agent context, and review of AI-generated code

Conocimientos

Python

SQL

Software engineering fundamentals

Orchestration framework experience

API design

Herramientas

LangGraph

PydanticAI

OpenAI Agents SDK

MCP tool integration

FastAPI

Terraform

Docker

Descripción del empleo

Description

Job Description

• 5+ years delivering production AI/ML systems; strong Python, SQL and software engineering fundamentals (tests, CI/CD, code reviews)
• Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration
• Model training/evaluation experience with reproducible pipelines and experiment tracking
• Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)
• AI security in practice: prompt-injection defenses and tool-permission scoping
• Ability to design clean APIs/services (e.g., FastAPI) and communicate trade-offs in English

Requirements

• 5+ years delivering production AI/ML systems; strong Python, SQL and software engineering fundamentals (tests, CI/CD, code reviews)
• Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration
• Model training/evaluation experience with reproducible pipelines and experiment tracking
• Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)
• AI security in practice: prompt-injection defenses and tool-permission scoping
• Ability to design clean APIs/services (e.g., FastAPI) and communicate trade-offs in English

Nice to have (bonus points)

• ML platforms: Braintrust, MLflow, AWS SageMaker, Azure AI Foundry, Snowflake, Databricks
• Retrieval/search experience: hybrid search, reranking, and graph retrieval
• Infrastructure as code and containers: Terraform and Docker.

Job responsibilities

• Ship production GenAI/ML features for supply chain risk management
• Design and ship agentic systems: tool-using and multi-agent workflows with human review
• Build the retrieval and LLM layer underneath optimized for latency and cost
• Own evaluation and rollout (LLM-as-judge, evals, A/B testing, model versioning)
• Operate AI in production (monitoring, quality metrics, drift detection)
• Work with AI engineers, Data Engineers, Product, and Architects to bring AI to production
• Work AI-native: agentic coding tools, repo-level agent context, and review of AI-generated code

What we offer

Exciting Projects

We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment

You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance

GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development

Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits

• competitive salaries
• family medical insurance
• Group Term Life Insurance
• Group Personal Accident Insurance
• NPS (National Pension Scheme)
• Periodic health awareness program
• extended maternity leave
• annual performance bonuses
• referral bonuses

Fun Perks

We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.