
Associate Data Analyst
- Bangalore, Karnataka
- Permanent
- Full-time
- Monitor and manage AI/ML model deployments on Azure AI Studio
- Handle incident response, triage, and resolution using Python Scripts, Azure AI/ML Studio, Databricks, Datadog and Azure Defender
- Candidate must be ready to learn other cloud technologies as we are expanding our operations to other cloud vendors
- Deployment of AI/ML Models and collaboration with cross-functional teams to ensure secure and stable deployments
- Use Postman to test and validate APIs for deployed models
- Manage and configure Azure environments, including compute nodes, pipelines, and Databricks
- Implement and maintain vulnerability management practices
- Work with Jira boards for task tracking, incident logging, and sprint planning
- Analyze and apply RASCI matrices to ensure proper ownership and accountability
- Support workspace deployments and environment configurations
- Participate in root cause analysis (RCA) and continuous improvement initiatives
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- 1+ years of Experience
- Technical Skills:
- Solid experience with Azure AI Studio, Azure ML, and Azure DevOps
- Solid experience with Python, SQL, Pyspark
- Experience in MLOps and CI/CD pipelines for ML models
- Experience with Postman for API testing and validation
- Hands-on experience with Azure Defender, vulnerability management, and security best practices
- Hands-on experience with Azure Databricks, pipelines, and compute node configuration
- Understanding of workspace deployments and environment management in Azure
- Proficiency in Datadog for monitoring and alerting
- Operational Skills:
- Experience in incident management, triaging, and on-call support
- Experience with ITIL or other incident management frameworks
- Proficiency in using Rally, Jira, Service Now for issue tracking and sprint planning
- Proven ability to interpret and apply RASCI matrices for role clarity
- Proven solid analytical and problem-solving skills
- Proven excellent communication and collaboration abilities
- Azure certifications (e.g., Azure AI Engineer Associate, Azure Administrator Associate)
- Proactive and self-motivated
- Solid attention to detail
- Ability to work in a fast-paced, dynamic environment
- Team player with a collaborative mindset