Assistant Manager

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 whats possible, this is your moment.

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Assistant Manager - Full stack Data Scientist
In this role, the person is responsible for transforming business requirements into valuable insights that drive decision-making in organizations. He/She is expected to handle the entire data science process, from data collection to model deployment and maintenance.

Responsibilities:
Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities
Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps
Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements
Design and implementation of the overall web architecture with real time exposure of developing REST APIs
Good command for designing and building the entire stack for speed and scalability
Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies
Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation
Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models
Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform
Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready
Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress
Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies
Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions

Qualifications we seek in you!
Minimum Qualifications / Skills

Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field
Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models
Familiarity with algorithms both in supervised and un-supervised learning

Preferred Qualifications/ Skill

Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience
Exposure at implementing CI/CD pipelines to streamline development and deployment
Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models
Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture
Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc
Exposure in modular, typed, and object-oriented Python programming
Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL)
Excellent communication skills with a desire to work in multidisciplinary teams
Expert for analysing the errors of the model and designing strategies to overcome them

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 careerGain 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.
Lets 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.