MLOps Manager
About The Position
Automat-it is an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.
Automat-it operates in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.
We are seeking an experienced MLOps 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 - hybrid from Ukraine or Madrid
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.
- Fluent written and verbal communication skills in English
- Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - advantage
- Experience with Docker and Kubernetes - advantage
- Working knowledge with Snowflake, BigQuery, and/or Databricks - advantage
- GCP or Azure knowledge (DevOps/MLOps) - advantage
- ML certification (AWS ML Specialty or similar) - 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.
#LI-Hybrid #LI-AIT
