Вакансія AI/ML Team Lead

Skills

• MLOps
• AWS
• Kubeflow
• MLflow
• DataRobot
• Apache Airflow
• Python
• Linux
• scikit-learn
• Keras
• PyTorch
• TensorFlow
• OpenAI
• Amazon Bedrock
• LangChain
• LlamaIndex
• Docker
• Kubernetes
• OpenSearch
• Qdrant
• Weaviate
• LanceDB
• Snowflake
• BigQuery
• DataBricks
• GCP
• Azure

Опис вакансії

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 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.

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