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[Remote] Lead AI/ML Engineer - 12 + Yr Exp

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Programmers.io is seeking a Lead AI/ML Engineer with exceptional experience in AI/ML concepts and project leadership. The role involves leading high-priority AI/ML projects, managing the AI Review Board, and providing mentorship to a team of engineers and data scientists.

Responsibilities

  • Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards
  • Translate the enterprise AI strategy and product roadmaps into detailed project plans, technical specifications, and actionable backlogs for engineering teams
  • Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively
  • Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams
  • Facilitate the preparation of all required documentation for AIRB reviews, ensuring submissions are complete, clear, and proactively address potential ethical, compliance, and technical concerns
  • Implement and enforce the governance framework, ensuring teams adhere to established standards and best practices for responsible AI
  • Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists
  • Foster a culture of engineering excellence, collaboration, and continuous improvement within the team and enterprise
  • Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions
  • Drive the practical implementation of the MLOps strategy, directly overseeing the construction and optimization of CI/CD pipelines for AI/ML systems using tools like GitHub Actions
  • Enforce rigorous engineering hygiene, including version control for code, data, and models (Git, DVC), and the application of Infrastructure as Code (IaC) principles
  • Lead the technical implementation of production monitoring solutions to track model performance, identify drift, and ensure the long-term reliability of deployed AI systems

Skills

  • 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)
  • Advanced Degree: A Master's or Ph.D. in a relevant quantitative field
  • Healthcare Domain Experience: Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment
  • Product Mindset: Experience working closely with product managers to define and deliver AI-powered features and products
  • Expertise in GenAI Operations: Specific experience in the operational challenges of deploying and managing LLM-based applications in production
  • Mentorship and Talent Development: A passion for coaching and developing technical talent, with a track record of growing senior engineers into tech leads

Company Overview

  • IBM i is evolving. And so are we. It was founded in 2012, and is headquartered in Coppell, Texas, USA, with a workforce of 1001-5000 employees. Its website is https://programmers.io/.

Company H1B Sponsorship

  • Programmers.io has a track record of offering H1B sponsorships, with 2 in 2023. Please note that this does not guarantee sponsorship for this specific role.

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