Sr. Data Scientist
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Inviting applications for the role of lead consultant - Backend Engineer We are seeking a highly skilled Python Gen AI Backend Engineer to join our team. In this role you will design develop and maintain backend microservices and AP Is that integrate with generative AI platforms knowledge bases and large language models. You will collaborate with cross-functional teams to deliver robust scalable and secure backend solutions that power next-generation AI-driven applications. Responsibilities: - Design and implement RES Tful and/or Graph QL AP Is using Python frameworks (e.g. - Django Flask Fast API). - Develop microservices and modular backend components for scalability and maintainability. - Integrate third-party services AP Is and internal systems. - Work with message queues (Rabbit MQ Kafka) for asynchronous processing. - Design build and maintain backend microservices and AP Is in Python using frameworks such as Django or Flask - Implement AI integration layers including embedding generation vectorization vector search and retrieval-augmented generation (RAG) pipelines - Integrate with LLM and model-hosting platforms (e.g. - AWS Bedrock) and implement prompt chaining and agent orchestration - Build test and operate AI agent frameworks enabling multi-step stateful workflows and task delegation - Architect event-driven and serverless components to scale real-time inference and asynchronous jobs - Ensure services are production-ready with automated CI/CD Infrastructure-as-Code logging tracing and alerting - Collaborate with data scientists ML engineers and product owners to productionize models and implement guardrails - Optimize for cost latency and throughput in model calls embedding pipelines and vector-index maintenance - Produce clear API documentation runbooks and design documents; - participate in architectural reviews - Contributing to your BU/Practice by - Delivering innovative scalable backend solutions that drive Gen AI-powered business value - Enhancing the organizations AI integration capabilities and technical knowledge base - Supporting the development of best practices and standards for Gen AI backend engineering - Collaborating effectively with cross-functional teams to achieve project and organizational goals
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Alteryx Designer Core Certification - Alteryx AcademyAlteryx Academy, Certificate in Deep Learning - Dimensionless TechademyDimensionless Techademy, Professional Machine Learning Engineer - InterPediaInterPedia
Required Skills
Adaptive Technology, Adaptive Technology, Agile Methodology, Amazon SageMaker, Anticipatory Capability, Artificial Intelligence (AI), Asset Management, Automated Machine Learning (AutoML), CI/CD, Client Relations, Collaboration Tools, Computer Vision, Context Awareness, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Embedded Systems, Executive Presence, Inclusion, Internet of Things (IoT), Machine Learning Model Management, Model Validation {+ 6 more}
Language
English
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Advanced Analytics / AI / ML
Remote Type -
Hybrid
Work Shift -
Flex Time (India)
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- 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 or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
