Senior MLOps Engineer

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 seek an  MLOps Engineer to work hands-on with Data Science and R&D teams and be in charge of the entire machine learning pipeline from the MLOps perspective. You will work with our customers and help them build and run machine learning systems at scale.

Responsibilities:

• Provision of 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 customers tackle challenges on a scale using distributed training frameworks
• Learning new skills and technologies quickly
• 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:

• 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
• Fluent written and verbal communication skills in English
• Experience with one or more large language models Frameworks like OpenAI SDK, Amazon Bedrock , LangChain , and LlamaIndex .
• Working knowledge of some Vector Databases ( OpenSearch , Qdrant , Weaviate , LanceDB , etc) — advantage
• Experience with Docker and Kubernetes  is an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks is an advantage
• GCP or  Azure knowledge ( DevOps / MLOps) is an advantage

• ML certification ( AWS ML Specialty or similar) is 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.