Senior MLOps Engineer (Computer Vision, GenAI, Nvidia)

Key Skills

Aartificial intelligence, Apache Airflow, AWS, Azure, Big Data Technology, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, Design, DevOps, Effective communication skills, Google Cloud Platform (GCP), Kubeflow, Machine learning techniques, MLflow, MLOps tools, NVIDIA Jetson, Python Programming, SPARK Programming

Job Description

WE ARE

SoftServe is a leading advisory and IT development service company focused on helping clients build cutting-edge and innovative solutions while delivering exceptional value. With you, we set goals and reach them to grow better together, learning from both successes and mistakes. We are a team of thinkers and makers in more than 40 offices worldwide, true professionals and good people, who like what we do and do it well.

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. We are transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.

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

IF YOU ARE

• A Machine Learning Engineer with an MS degree in computer science or a related field and 3+ years of relevant experience
• Capable of designing and implementing ML end-to-end solutions
• Able to create data pipelines and architectures
• Strong at setting up the infrastructure, and optimizing existing models.
• Competent in Machine Learning/Deep Learning models and model lifecycle,
• Knowledgeable of software engineering, and a good understanding of DevOps/MLOps principles.
• Proficient with Python and traditional Python DS/ML stack
• Hands-on experience with Generative AI
• Familiar with Building ML production solutions using Nvidia technologies
• Fluent in ML solutions design patterns
• Experienced in AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS or Azure
• Confident in setting up CI/CD/CT pipelines for ML
• Hands-on experience with Kubeflow, MLflow, or similar
• Used to containers and container orchestration platforms such as Kubernetes
• Able to maintain daily communication with English-speaking software engineers on the client side at an Upper-Intermediate English level or higher
• Strong at requirements gathering and estimation
• Good at designing and building feature stores (would be an advantage)
• Familiar with the Hadoop ecosystem and Apache Spark (would be a plus)
• Confident with Workflow orchestration platforms such as Airflow (nice to have)
• Used to be working with Message queues and streaming platforms (as an advantage)
• Good at Java/Scala (is not a must)

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 ML systems
• Implement end-to-end production pipelines for ML solutions
• 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
• Operationalize our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
• Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments

TOGETHER WE WILL

• Participate in international events
• Get certifications in cutting-edge technologies
• Have the possibility to work with the latest modern tools and technologies on different projects
• Access strong educational and mentorship programs
• Communicate with the world-leading companies from our logos portfolio
• Work as a consultant on different projects with a flexible schedule