Senior Principal Consultant, AI/ML Engineer - GENPACT : Job Details

Senior Principal Consultant, AI/ML Engineer

GENPACT

Job Location : New York,NY, USA

Posted on : 2025-07-11T01:04:20Z

Job Description :
Senior Principal Consultant, AI/ML Engineer

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This range is provided by Genpact. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

Job Description

Inviting applications for the role of Senior Principal Consultant, AI/ML Engineer! In this role, candidates should have experience in designing and developing machine learning and deep learning systems, professional software development experience, and hands-on experience running machine learning tests and experiments. Responsibilities include designing, developing, testing, and deploying data pipelines, ML infrastructure, and client-facing products, as well as building and scaling ML models into production across cloud platforms.

Responsibilities
  • Drive the vision for modern data and analytics platforms leveraging cloud technologies.
  • Bridge the gap between ML research and production to create innovative products.
  • Design, develop, test, and deploy data pipelines and ML infrastructure.
  • Build and prototype ML models for proof-of-concept.
  • Scale ML models into production on cloud platforms.
  • Analyze and resolve architectural issues collaborating with engineering, data science, and operations teams.
  • QualificationsMinimum Qualifications / Skills
    • Bachelor's degree in Computer Science, IT, Mathematics, or related field.
    • Master's degree is a plus.
    • Experience with APIs, micro-services, and ETL/ELT patterns.
    • Knowledge of DevOps tools like Ansible, Jenkins, ELK (preferred).
    • Proficiency in Python, Scala, Java, etc.
    • Experience with cloud services like AWS, GCP, Azure.
    • Familiarity with ML tools such as Sagemaker, ML Studio.
    • Understanding of execution paradigms like low latency/streaming and batch processing.
    Preferred Qualifications/Skills
    • Experience with Big Data platforms (Hadoop, Spark, Kafka) and Data Warehouses (Redshift, BigQuery, Snowflake).
    Additional Information

    Position offers an annual base salary of $130,000 to $150,000, with total compensation depending on experience and location. Roles are location-based or remote, with specific eligibility criteria.

    Other Details

    Seniority level: Director

    Employment type: Full-time

    Job function: Consulting

    Industry: IT Services and IT Consulting

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