DevOps Engineer (with AI/MLOPS) 5+ Yrs

Role: DevOps Engineer (with AI/MLOPS)

Location: Remote

Exp: 5 years

Skills

• AWS services (should be strong) - Bedrock, IAM, EKS, ECS, EC2, vpc etc.
• Azure Services (less experience is also fine) - VM, AKS, Foundry, Azure DevOps etc
• Data & Analytics (Snowflake , Airflow, replications SAP, SFDC, SQL Server , PostgreSQL)
• API Replications and GenAI deployments along with ML Models)
• Docker
• Kubernetes
• Terraform
• GitLab CICD (preferable)
• Monitoring: Prometheus and Grafana (any other tools is also fine)

Job Experience Requirements:

• Bachelor’s degree in the areas of Computer Science, Engineering, Information Systems, Business, or equivalent field of study required.
• 5+ years of experience in working with data solutions (Data lakes, cloud data warehouses).
• 3+ years of experience developing data solutions on AWS.
• 2+ years Linux/Unix including basic commands, shell scripting and solution engineering.
• 2+ years of experience with S3, AWS Glue, EMR, MKS, RDS, Serverless technologies, DynamoDB, lambda, Kubernetes
• Strong knowledge of DevOps tools and practices (CI/CD, Infrastructure as Code, monitoring, etc.).
• Experience with AI/ML application technologies (LLM, Flask, Llama, Streamlit, ReactJs, etc) and frameworks (TensorFlow, LlamaIndex, LangChain etc.).
• Proficiency in scripting languages such as Python, Bash, Spark, Java with emphasis on tuning / optimization.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Strong critical thinking skills and ability to troubleshoot complex issues.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker, Github)
• Experience working with Data Governance , MDM tools is plus.