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Principal Consultant, AI ML Engineer

Genpact is hiring freshers for technical associate role.

Principal Consultant, AI ML Engineer


Job Description

Latest job opening in Genpact for AI ML Engineer .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.

To optimise our machine learning systems, we are seeking a highly skilled machine learning engineer. You will be assessing current machine learning (ML) procedures, analysing data sets statistically to find solutions, and improving the predictive automation accuracy of our AI software.

Skills set Required for this Job :
  • 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, batch
  • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
  • Visualization Tools – PowerBI, Tableau
Job 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
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Additional Information

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Job Type/Timing

Job Type: In Office Job Timing: Full Time

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