HPE - MLOps Engineer

Job Description

As an MLOps Engineer, you will be responsible for the design, development, integration and deployment of frameworks, tools and pipelines required for the end-to-end machine learning lifecycle in customer projects.

You will apply MLOps technologies to operationalize AI solutions at scale, integrated with client’s business processes and applications. You will be responsible for providing technical contribution and/or leadership in the creation and delivery of MLOps solutions designed to meet customers’ business needs and drive outcomes for the customers.

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Your Responsibilities**

• Responsible for delivery of assigned tasks within the project lifecycle
• Understand the company's technology portfolio and deliver technical design that meets customer requirements
• Works with large scale computing frameworks, data analysis systems, and modeling environments
• Applies MLOps methods and technologies to embed/integrate AI and analytic models into enhanced large-scale business processes and operational systems
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative MLOps and AI solutions in the operational systems
• Provide technical consulting during project presales discussions
• Resolve technical issues independently within your technical area
• Work with team members to solution cross-technology assignments or address complex technical issues
• Balance internal needs with customer needs within defined parameters
• May identify additional services that could lead to future service revenue growth
• Manage smaller projects/programs in the team
• Participates as part of a team in developing and growing good relationships with team members and customers in assigned projects
• Participate in technical or professional community events

Our Requirements

• Master´s Degree in Computer Science, Engineering or related field and 4+ years of relevant experience
• Experience in designing and implementing ML pipelines in production systems, including data preparation, model training, evaluation, monitoring and inference at scale
• Knowledge of MLOps Frameworks, such as Kubeflow, MLFlow, Airflow, etc.
• Experience with Linux, containers, and container orchestration technologies (Kubernetes, Openshift)
• Extensive knowledge of programming languages such as Python, Go and shell script
• Expertise with deep learning frameworks such as PyTorch and TensorFlow
• Understanding of software engineering methodologies and DevOps practices (CI/CD)
• Understanding of infrastructure requirements and accelerators
• Ability to integrate technical knowledge and business understanding to create solutions for customers

Benefits

• Fully remote work
• Internal Mobility Program – enjoy many opportunities for career growth, job rotations, diversity of projects & technologies
• Referral Program – enjoy cooperation with your colleagues and get a bonus!
• 5/10 Years NATEK Club – we offer long-term cooperation and celebrate each fifth-year cooperation anniversary with gifts
• NATEK CSR Events & team buildings – enjoy our values: accountability, partnership and expertise and #workITwithus
• Education – benefit from our know-how, learning courses and certificates and IT events – be part of the community of leaders of the industry and take part as a speaker or a visitor
• Multisport
• Technical and Personal training
• Language courses

Only for COW:

• Medical Healthcare
• Cafeteria
• Food Vouchers
• Bonuses for Personal Events