Machine Learning Subject Matter Expert providing technical leadership in ML initiatives. Collaborating with teams to deliver scalable ML models and ensure best practices across the organization.
Responsibilities
Serve as the go-to expert for machine learning initiatives, offering deep technical knowledge and practical experience to guide projects from concept to production.
Collaborate with data scientists, engineers, and business stakeholders to deliver scalable ML models that solve complex problems and create measurable business impact.
Ensure ML solutions are scalable, secure, and aligned with organizational standards.
Mentor and coach data scientists, engineers, and analysts on ML best practices.
Evaluate emerging ML technologies and recommend adoption strategies.
Collaborate with cross-functional teams to integrate ML models into production systems.
Establish and enforce governance, ethical AI practices, and model monitoring frameworks.
Requirements
Master’s or PhD in Computer Science, Machine Learning, Data Science, or related field.
8+ years of experience in machine learning, with proven expertise in model development and deployment.
Strong proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R, Java).
Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform).
Solid understanding of data engineering, feature engineering, and MLOps practices.
Demonstrated ability to lead complex ML projects and influence strategic decisions.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Knowledge of ethical AI, bias mitigation, and responsible ML practices.
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