MLOps Engineer

• Proven ability to design and implement cloud solutions and build MLOps pipelines on AWS. 
• Hands-on experience with one or more frameworks such as Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Proficient in Python, with a solid understanding of Linux and experience in frameworks like scikit-learn, Keras, PyTorch, TensorFlow, etc. 
• Understanding of data science tools and experience in software development and test automation. 
• Excellent written and verbal communication skills in English. 
• Experience with frameworks like OpenAI SDK, Amazon Bedrock, LangChain, LlamaIndex. 
• Knowledge of Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB (advantage). 
• Experience with Docker and Kubernetes (advantage). 
• Working knowledge of Snowflake, BigQuery, and/or Databricks (advantage). 
• Familiarity with GCP or Azure (DevOps/MLOps) (advantage). 

Will be a plus: 

• ML certification (AWS ML Specialty or equivalent). 

Responsibilities:

• Build and maintain MLOps pipelines using Amazon SageMaker and its advanced features. 
• Develop cutting-edge Generative AI solutions and Proof of Concepts (POCs) with the latest architectures and technologies. 
• Provision AWS resources and infrastructure to support machine learning tasks. 
• Design and implement ML-focused CI/CD pipelines using tools like GitHub Actions, BitBucket, etc. 
• Deploy machine learning models to production environments. 
• Assist customers in solving large-scale problems through distributed training frameworks. 
• Quickly adapt to new skills, tools, and technologies. 
• Use and write Terraform libraries for infrastructure deployment. 
• Develop and manage CI/CD pipelines across different projects, tech stacks, and scales. 
• Maintain infrastructure and environments at all stages, from development to production. 
• Monitor and administer security across systems. 

What we Offer: 

• Competitive salary   
• Remote work 
• Flexible schedule 
• Career growth 
• Sport compensations
• Professional working environment, where you'd be an essential member of our company 
• Corporate culture, mutual support.