Lead MLOps Engineer (Nvidia AI)

Key Skills

Aartificial intelligence, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data science techniques, Deep Learning, Generative AI, Google Cloud Platform (GCP), Machine learning techniques, Python Programming

Job Description

WE ARE

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence, you will receive a chance to contribute to a wide range of projects in different areas, domains, and technologies. We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!

IF YOU ARE

• Experienced in delivering end-to-end Machine Learning solutions utilizing cloud platforms and Nvidia AI stack
• Hands-on with Nvidia AI technologies such as NGC, Triton Server, NEMO, Riva, and others
• Proficient with Nvidia Launchpad
• A holder of a Ph.D. or Master's Degree in Computer Science, or a related field
• Advanced in Python programming and traditional Python DL/ML stack
• Skilled in requirements gathering and estimation (Upper-intermediate, or higher English level)
• Possessing working knowledge of AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS, or Azure
• Knowledgeable of ML solutions design patterns
• Experienced in setting up CI/CD/CT pipelines for ML/DL and robust feedback loops
• Skilled with ClearML, Domino, or similar
• Used to deploying and optimizing distributed loads in GPU-powered environments
• Competent in Kubernetes
• Experienced with Generative AI (nice-to-have)
• Hands-on with profiling using Nsight Suit (as an advantage)
• Proficient with using Slurm for jobs orchestration (is not a must)
• Strong in Nvidia AI Enterprise Platform (would be a plus)

AND YOU WANT TO

• Communicate use cases, requirements, and expectations with stakeholders
• Guide Engineering and Data Science teams on ML systems production lifecycle
• Collaborate with Data Science teams on model operationalization strategies
• Work closely with Product teams to deliver and operate complex ML systems
• Implement end-to-end production pipelines for ML solutions utilizing the power of Nvidia AI technologies
• Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
• Set up scalable monitoring systems for data pipelines and ML models

TOGETHER WE WILL

• Work closely with clients to understand their business needs and provide recommendations on how to best leverage data to improve business outcomes
• Enhance our partnership with NVIDIA
• Communicate with the world-leading companies from our logos portfolio and contribute to winning new ones
• Have the possibility to experiment with the latest modern tools and algorithms and stay up to date with top-notch technologies
• Participate in international events and get certifications in cutting-edge technologies
• Have access to powerful educational and mentorship programs
• Care for your and your family’s wellness with a health insurance package
• Work as a technical expert on different projects with a flexible schedule