Yes Energy
Electric Power Data and Analytics
MLOpsTeamLead
“MLOps Team Lead at Yes Energy. Skills: MLOps, Platform Engineering, Software Engineering, Cloud Platforms. Lead MLOps function. Provide technical direction”
What You'll Achieve.
Make model development, deployment, monitoring, governance, and operations reliable, secure, repeatable, and scalable; Establish MLOps standards; Guide platform architecture; Lead team responsible for productionizing ML capabilities; Create clear patterns for experimentation, feature management, model deployment, model observability, CI/CD for ML systems, and operational support; Safely deliver data-driven and AI-enabled capabilities at scale; Turn prototypes into reliable production systems; Define measurable success criteria for ML-enabled capabilities; Improve monitoring for models and ML-powered services; Make ML releases safe, observable, repeatable, and auditable; Ensure reliable feature pipelines; Support cloud-native ML infrastructure; Define guardrails for access control, model governance, auditability, data handling, secrets management, and responsible use of AI-enabled capabilities; Drive incident response; Improve reliability
Industry & Context.
Solving tough problems; Diagnose production issues
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Technology, or a related or equivalent practical experience, Minimum of seven years of professional experience in software engineering, platform engineering, data engineering, ML engineering, SRE, or related technical roles, at least two years working with production ML, AI, or data science systems, Experience leading technical teams or workstreams, Hands-on experience building or operating MLOps workflows, software engineering skills in Python, modern engineering practices, Production experience with cloud platforms, Working knowledge of data pipelines, communication skills, Demonstrated ability to diagnose production issues
Nice to Have
Kubernetes a plus
What You'll Do.
Provide technical direction
Mentor MLOps engineers
Design MLOps platforms
Operate MLOps workflows
Establish model CI/CD standards
Partner with Data Science teams
Build model monitoring
Improve ML service monitoring
Create deployment patterns
Collaborate on feature pipelines
Support cloud-native ML infrastructure
Define guardrails for AI
Drive incident response
Evaluate MLOps tooling
How You'll Work.
Team & Collaboration
Partner closely with Data Science, Engineering, Product, Security, Data Engineering, and Infrastructure teams; Partner with Product leadership; Collaborate with Data Engineering and Platform teams; Partner with Security, Compliance, and Engineering leadership; Coordinate responders
Communication Scope
Ability to translate between data science, engineering, product, security, and executive stakeholders
Process & Methodology
Prioritization, Delegating work, Driving execution
Applying for this MLOps Team Lead role?
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