Senior Principal Consultant, AI/ML Engineer

Genpact; New York (NY); Remote; USD 130,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Senior Principal Consultant, AI/ML Engineer to lead the development of cutting-edge machine learning solutions. This role involves designing and deploying robust ML infrastructures and data pipelines, as well as scaling models in production across various cloud platforms. Ideal candidates will have a strong background in software development and a passion for bridging the gap between research and practical application. Join a dynamic team that thrives on collaboration and creativity, and make a significant impact in the rapidly evolving field of AI and ML.

Qualifications

• Experience in designing and developing machine learning systems.
• Hands-on experience with running machine learning tests and experiments.

Responsibilities

• Drive the vision for modern data and analytics platforms.
• Design, develop, test, and deploy data pipelines and ML infrastructure.
• Scale ML models into production on cloud platforms.

Skills

Machine Learning

Deep Learning

Python

APIs

Cloud Services (AWS, GCP, Azure)

DevOps Tools (Ansible, Jenkins, ELK)

Scala

Java

Education

Bachelor's degree in Computer Science, IT, Mathematics

Master’s degree

Tools

Sagemaker

ML Studio

Hadoop

Spark

Kafka

Redshift

BigQuery

Snowflake

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

1. Drive the vision for modern data and analytics platforms leveraging cloud technologies.
2. Bridge the gap between ML research and production to create innovative products.
3. Design, develop, test, and deploy data pipelines and ML infrastructure.
4. Build and prototype ML models for proof-of-concept.
5. Scale ML models into production on cloud platforms.
6. Analyze and resolve architectural issues collaborating with engineering, data science, and operations teams.

Qualifications

Minimum 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