Manager- ML Engineer

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.

Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.

Welcome to the relentless pursuit of better.

Inviting applications for the role of Manager, ML Engineer!

In this role, we are seeking a ML engineer that has either a bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus. Designing and developing machine learning and deep learning systems. Running machine learning tests and experiments. Implementing appropriate ML algorithms

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

· Relevant years of programming experience with languages such as python, Java and R

· Relevant years of experience in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) etc.

· Deep knowledge of math, probability, statistics and algorithms

· Understanding of data structures, data modeling and software architecture

Preferred Qualifications/ Skills

· 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

· Cloud Services - AWS, GCP, Azure and Cloud Native

· Analytics and ML tooling - Sagemaker, ML Studio

· Execution Paradigm - low latency/Streaming, batch and micro batch processing

· Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)

· Visualization Tools - PowerBI, Tableau

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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit . Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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.

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