What are the responsibilities and job description for the AI/ML Ops Architect position at Probal DasGupta?
A successful client seeks an experienced AI / MLOps Architect to join our Solution and Data Architecture team supporting the Data Science / AI Team.Consultant will be pivotal in architecting robust AI / MLOps / LLMOps solutions on the Azure AI / ML platform. They will collaborate with cross-functional teams to streamline the AI / ML Azure Stack at MPC, ensuring our AI / ML initiatives are delivered with high quality and speed. Will be collaborating with team of MLOps Architects and Engineers supporting the MPC Data Science & AI Team.Key Responsibilities :
- Architect Robust Azure AI / MLOps / LLMOps Solutions : To support the MPC Data Science and AI Team to deliver high quality Data Science solutions to our business continuously.
- Azure AI / ML Platform Orchestration : Provide thought leadership on all aspects of the Azure ML Platforms that host the ML models and deliver value to our clients within and outside of MPC.
- Azure OpenAI Expertise : Have working knowledge of Azure OpenAI based AI / ML solutions to provide quick value to business.
- Kubernetes Expertise : Provide thought leadership in the architecture and maintenance of the Azure AKS Clusters for the team to support AI / ML Initiatives.
- Production Support : Be able to provide 24X7 production support for MPC Azure ML models in case of issues / troubleshooting.
- Promote DevSecOps Principles : Foster a DevSecOps culture across the Analytics & Innovation organization, ensuring security is integrated into the development process.
- Collaboration : Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production.
- Security and Compliance : Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements.
- Documentation : Maintain comprehensive documentation of systems, processes, and workflows to facilitate knowledge sharing and collaboration.
- Lifelong Learner : Exhibit an attitude of lifelong learning to keep up with the constant demands of keeping up instead of catching up in the field of AI / ML.Requirements :
- Experience : 7 years of experience in DevOps, MLOps, or a related field.
- Extensive Azure DevOps and AzureML experience.
- Experience working on Linux based platforms for AI / ML Data Science solutions.
- Experience working with Data Science and Machine Learning teams.
- Education : Bachelor’s Degree in Computer Science, Engineering, or a related field.Technical Expertise :
- Expert level proficiency in the Azure Cloud Platform and containerization technologies (Docker, Kubernetes).
- Expert programming skills in Python, Bash, PowerShell, or other modern programming / scripting languages.
- Experience with infrastructure as code (Terraform, ARM or other IaC tools).Tool / Platform Proficiency :
- Familiarity with CI / CD tools (Jenkins, GitHub Actions, ADO Pipelines).
- Knowledge of Azure Architecture with a focus on AI / ML Platforms.
- Problem-Solving : Excellent problem-solving and analytical skills, with a focus on delivering practical and efficient solutions.Important skills : Data Scientist, AI, ML, Azure AI / ML, Azure DevOps and Azure ML
