MLOps Team Lead
Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We seek an experienced AI/ML Team Leader to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements and ensure project success overseeing from inception to completion.
📍 Work location - remote from Ukraine.
Responsibilities
- Manage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.
- Lead and be responsible for on-time, great-quality project deliveries
- Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
- Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
- Delivering end-to-end ML products - model performance development, training, validation, testing, and version control
- Provision of ML AWS resources and infrastructure
- Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools
- Deploying Machine Learning models in production
- Help customers tackle challenges on a scale using distributed training frameworks
- 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
Requirements
- Proven leadership experience with a track record of managing and developing technical teams.
- Excellent customer-facing skills to understand and address client needs effectively.
- Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
- Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
- Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientists and experience with software development and test automation
- Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
- Experience with Docker and Kubernetes
- Fluent written and verbal communication skills in English
- Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage
- Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
- GCP or Azure knowledge (DevOps/MLOps) - an advantage
ML certification (AWS ML Specialty or similar) - an advantage
Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that fostering a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.