Lead AI/ML Engineer responsible for AI project execution and delivery, with expertise in AI governance, project management, and machine learning lifecycle. Requires 10-15 years of experience in AI/ML, with at least 4-5 years in a leadership role. Strong technical foundation in Python, common ML frameworks, and cloud platforms.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Job Title: AI/ML Engineer Lead / Architect
Location : 100% Remote Role
Duration : 12+ Months Contract OR Fulltime
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Job Description:
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Lead AI/ML Engineer –
Primary Responsibilities:
AI Project Execution & Delivery:
Required Qualifications:
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- Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
- Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
- Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
- Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
- Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
- Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
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