Genpact Hiring For AI ML

Ready to build the future with AI?

At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

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Inviting applications for the role of AIML Engineer!
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments.

Implementing appropriate ML algorithms engineers.

Responsibilities
• Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
• Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
• Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
• Build and implement machine learning models and prototype solutions for proof-of-concept
• Scale existing ML models into production on a variety of cloud platforms
• Analyze and resolve architectural problems, working closely with engineering, data science and operations teams

Qualifications we seek in you!

Minimum Qualifications / Skills
• Bachelor’s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
• Master’s degree is a plus
• Integration – APIs, micro-services and ETL/ELT patterns
• DevOps (Good to have) – Ansible, Jenkins, ELK
• Containerization – Docker, Kubernetes etc
• Orchestration – Airflow, Step Functions, Ctrl M etc
• Languages and scripting: Python, Scala Java etc
• Cloud Services - AWS, GCP, Azure and Cloud Native
• Analytics and ML tooling – Sagemaker, ML Studio
• Execution Paradigm – low latency/Streaming, batch

Preferred Qualifications/ Skills
• Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
• Visualization Tools - PowerBI, Tableau

Why join Genpact?

• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

*Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical …