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ML/ML Ops Principal Engineer

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Job Description - ML/ML Ops Principal Engineer

Preferred Qualifications

  • 7-10+ years of experience in Data Science, Machine Learning, and ML Operations
  • Bachelor’s or Master’s degree in computer science, engineer,  mathematics, data science or a related technical field
  • Cloud Architecture certification like (Google Cloud Professional Architect, etc.)
  • Certification in Artificial Intelligence like (Google Cloud, Vertex AI, etc)
  • Build Machine Learning models, perform proof-of-concept, experiments, optimize, and deploy models into production
  • Expertise in designing ML models using TensorFlow or PyTorch. Demonstrated experience deploying ML models in production environments
  • Strong understanding of feature engineering, model evaluation, and bias testing.  Theoretical and Practical knowledge in developing regression, classification, and time-series models.
  • Proficient in MLOps and DataOps using MLflow, Kubeflow, and CI/CD
  • Expertise in model monitoring, retraining strategies, deployment strategies, and cost optimization.
  • Deep knowledge of cloud-native architecture and AI/ML services on GCP, AWS or Azure.  GCP is highly preferred.

  • Skilled in building scalable APIs, microservices, and event-driven systems
  • Provide technical leadership to team of strong engineers
  • Experience with Python, SQL, and model-serving frameworks

  • Expertise in applying ML to topics in pricing, product recommendation, supply chain, and shared services
  • Experience working with Vertex AI for scalable ML pipeline deployment
  • Experience with semantic search, vector databases, and graph technologies
  • Strong understanding of data governance, security, and compliance in distributed systems
  • Familiarity with enterprise data platforms

Job Summary

Manages a team that develops, implements, and/or supports technology solutions for a business function. Ensures the operational stability of technology systems and applications and that technology solutions meet the needs of the company.

Major Tasks, Responsibilities, and Key Accountabilities

  • Oversees technology development and support activities to ensure technology issues are resolved in a timely and cost-effective manner in accordance with governance and security processes.
  • Manages and tracks the progress of multiple technology efforts, including administration, work plans, resource planning and control, status reports, and budgeting.
  • Resolves problems by analyzing issues, recommending corrective actions, providing tactical direction, and reallocating associate resources where needed.
  • Communicates activity statuses with technology teams, peers, management, and end-users.
  • Provides management, coaching, and feedback to associates, including assessing performance and providing guidance and direction on work-related activities.
  • Reviews operational processes and implements changes when needed.
  • Works with leadership to align technology resources to appropriate projects and workstreams.
  • Builds relationship with key stakeholders and operational groups to identify and resolve business issues.
     

Nature and Scope

  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel less than 10% of the time.

Education and Experience

  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Original job ML/ML Ops Principal Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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