Mlops Team Lead
hace 4 semanas
Lead MLOps Engineer
We are seeking an experienced MLOps Team Lead to join our innovative team at Automat-it. As a key member of our team, you will be responsible for leading a group of highly skilled MLOps Engineers, developing robust MLOps pipelines, creating cutting-edge Generative AI solutions, and effectively engaging with customers to grasp their requirements.
Key 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.
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