Principal Consultant, AI ML Engineer

4 weeks ago

Bengaluru, India Genpact Full time
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 Principal Consultant, AIML EngineerIn 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 teamsQualifications we seek in youMinimum 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, batchPreferred Qualifications/ Skills• Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)• Visualization Tools - PowerBI, Tableau

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