Description

• rovide hands-on technology expertise
• Ownership of all deliverables, timelines, and quality
• Co-own the product roadmap  
• Help support & optimize BAU processes
•  Minimum 5 years of relevant experience.
• Proven experience in machine learning engineering and operations.
• Profound understanding of machine learning concepts, model lifecycle management, and experience in model management capabilities including model definitions, performance management and integration.
• Execution of model deployment, monitoring, profiling, governance and analysis initiatives.
• Excellent interpersonal, oral, and written communication; Ability to relate ideas and concepts to others; write reports, business correspondence, project plans and procedure documents.
• Solid Python, ML frameworks (e.g., TensorFlow, PyTorch), data modeling, and programming skills.
• Experience and strong understanding of cloud architecture and design (AWS, Azure, GCP).
• Experience using modern approaches to automating machine learning pipelines.
• Agile and Waterfall methodologies.
• Ability to work independently and manage multiple task assignments within a structured implementation methodology.
• Personally invested in continuous improvement and innovation.
• Motivated, self-directed individual that works well with minimal supervision.
• Must have experience working across multiple teams/technologies.
• Preferred but not essential: Experience with business intelligence tools (preferably PowerBI).
• Preferred but not essential: Experience with MLOps tools (e.g., MLflow, Kubeflow)

Key Skills

Education

Bachelor's degree