Job description for a DevOps/DataOps Engineer with expertise in AI/MLOPS, working with data solutions, cloud data warehouses, and AWS. The role requires strong knowledge of DevOps tools, AI/ML application technologies, and scripting languages.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or equivalent field of study
- 5+ years of experience in working with data solutions
- 3+ years of experience developing data solutions on AWS
- 2+ years Linux/Unix experience
- 2+ years of experience with S3, AWS Glue, EMR, MKS, RDS, Serverless technologies, DynamoDB, lambda, Kubernetes
- Strong knowledge of DevOps tools and practices
- Experience with AI/ML application technologies and frameworks
- Proficiency in scripting languages such as Python, Bash, Spark, Java
- Familiarity with containerization and orchestration technologies
- Strong critical thinking skills and ability to troubleshoot complex issues
- Excellent communication skills and ability to work collaboratively in a team environment
Benefits
- Experience working with automated build and continuous integration systems
- Experience working with Data Governance, MDM tools