Lead Consultant - ML Engineer

Genpact (NYSE : G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Lead Consultant - ML Engineer!

In this role, we are looking for candidates who have relevant years of experience indesigning and developing machine learning and deep learning system. Who haveprofessional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate MLalgorithmsengineers.

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

Goodyears experience

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 – Google composer

Languages and scripting : Python, Scala Java etc

Cloud Services –GCP, Snowflake

Analytics and ML tooling – Sagemaker, ML Studio

Execution Paradigm – low latency / Streaming, batch

Preferred Qualifications / Skills

Data platforms – DBT, Fivetran and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)

Visualization Tools - PowerBI, Tableau