Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and optimizing advanced data, machine learning, and Generative AI solutions with an accent on robust, reusable data pipelines, MLOps, LLMOps, and DevOps practices. Focus on designing scalable ML and GenAI systems, managing cloud-native infrastructure, and contributing to R&D for next-generation technology platforms.

Location: Onsite in Gurugram or Bengaluru, India

Company

hirify.global is a division of McKinsey & Company, focusing on delivering measurable impact for clients through advanced data, machine learning, and Generative AI solutions.

What you will do

• Collaborate with business stakeholders, data scientists, and engineering teams to develop, productionize, and scale advanced data, ML, and GenAI solutions.
• Design, build, and maintain robust, modular, scalable, and reproducible data pipelines supporting advanced analytics and AI use cases.
• Develop and deploy technology that enables productionization and deployment of ML and Generative AI solutions following industry best practices.
• Establish and promote standards for software engineering, MLOps, LLMOps, and DevOps within multidisciplinary delivery teams.
• Build and manage cloud-native infrastructure to support ML and GenAI lifecycle management.
• Contribute to R&D projects and internal assetization efforts, building reusable frameworks, libraries, and platforms.

Requirements

• 4+ years of relevant experience across data engineering, MLOps, cloud, or DevOps roles.
• Strong hands-on experience with Python and distributed data processing frameworks (e.g., Spark).
• Proven experience designing and maintaining production-grade data pipelines and analytics platforms.
• Strong expertise in at least one major cloud platform (AWS, Azure, or GCP) and building end-to-end CI/CD pipelines.
• Solid experience with Docker, Kubernetes, MLOps practices, and workflow orchestration tools (e.g., Airflow, Argo, Kedro, Temporal).
• Working knowledge of SQL and experience with RAG pipelines, vector databases, embedding models, and LLM frameworks.

Culture & Benefits

• Continuous learning and apprenticeship culture backed by structured programs for professional growth.
• Opportunity to make a tangible impact by offering innovative ideas and practical solutions while upholding ethics and integrity.
• Be part of a global community with colleagues across 65+ countries and over 100 different nationalities, fostering creativity and diverse perspectives.
• Competitive salary based on location, experience, and skills, along with a comprehensive benefits package for holistic well-being.