DevOps engineer ML/AI (вакансія неактивна)

AUTOMAT-IT is a leading AWS Premier Partner, specializing in cloud migration and complex DevOps projects, mostly for start-ups segment. Our customers are able to plan and execute DevOps best practices of automation self-service, implement and manage Kubernetes, save on budgets, overcome IT complexity and deliver on “time to market”.

We are looking for a MLOps Engineer to join our Delivery team in Ukraine.

Responsibilities:

Machine Learning

You will be in charge of the entire machine learning pipeline from the MLOps perspective. You will work with our customers hand-in-hand, help them build and run machine learning systems at scale.

• Work hands-on as an MLOps/DevOps Engineer with Data Scientists and RnD teams
• Provision ML AWS resources and infrastructure
• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket or similar tools
• Deploying machine learning models in production
• Help customer tackle challenges in scale using distributed training frameworks
• Learning new skills and technologies quickly

DevOps

• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types from dev to production
• Security monitoring and administration

Required Qualifications:

• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, Azure or GCP)
• Experience with one or more MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,
• Experience with Docker and Kubernetes
• Fluency in Python, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientist and experience with software development and test automation
• Fluent in English, good communication skills and ability to work in a team

Advantages:

• A big advantage is working knowledge with Snowflake, BigQuery, and/or Databricks
• GCP and/or Azure knowledge (DevOps / MLOps)
• ML certification (AWS ML specialty or the like)

Benefits:

• an opportunity to work in a community of Cloud infrastructure professionals: 60+ DevOps engineers (senior, middle level), Solution Architects, MLOps and FinOps engineers, tech management team and NOC 24/7 team (on calls)
• pure DevOps focus — opportunity to work with cutting-edge DevOps tools and technologies, various of projects & free option to change project if needed
• regular professional DevOps topics knowledge sharing (internal and external) + exclusive sessions with invited AWS experts,
• 100% payment for certifications AWS, GCP, K8s, Jenkins, HashiCorp, etc. — pass exams only during working hours,
• flexible schedule, full remote
• if you need co working place with 100% backup (internet, electricity, heating + shelters) — we have free places in Kyiv, Lviv, Kharkiv (all expenses fully paid by company)
• laptop for work, additional equipment if needed
• 20 paid working days off, unlimited paid sick leave
• medical insurance
• financial bonuses for AWS certifications achieved
• referral program — enjoy cooperation with your colleagues and get a bonus
• compensation for sports and English courses
• legal and accounting advice and support