MLOps Engineer

Requirements:

• 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.