AI/ML Technical Lead
About The Position
As an AI/ML Technical Lead, you are responsible for driving the vision, design, and delivery of advanced ML/AI solutions that align with business objectives and deliver measurable impact. You act as the primary liaison between technical teams and stakeholders, translating complex concepts into actionable strategies while fostering collaboration and innovation. You combine deep technical expertise with strategic thinking to identify opportunities for automation, optimization, and growth through AI-driven insights. Your leadership ensures scalable, secure, and high-performing solutions while promoting best practices, mentoring teams, and championing continuous improvement across the organization.
Requirements
- 10+ years of progressive experience in technology-driven roles, with at least 5 years dedicated to providing technical leadership on enterprise-scale solution delivery projects.
- Hands-on expertise with ML/AI frameworks (e.g., TensorFlow, PyTorch, MLflow) and familiarity with Databricks ecosystem (Spark, Delta Lake).
- Strong programming skills in Python and SQL, with experience in CI/CD pipelines, GitHub, and automated deployment practices.
- Solid understanding of cloud platforms (AWS or Azure) and related services like Lambda, Redshift, and CloudFormation is a plus.
- Proven ability to manage multiple complex projects, ensuring timely delivery and alignment with business objectives.
- Experience with Agile methodologies, DevOps practices, and collaboration tools such as Jira and Confluence.
Nice To Haves
- Healthcare or Pharma experience is a bonus!
Responsibilities
- Lead the architecture, design, and implementation of ML/AI solutions, ensuring scalability, security, and performance.
- Define technical strategy and roadmap for ML/AI initiatives, leveraging Databricks capabilities where appropriate.
- Collaborate with product owners, program managers, and global teams to ensure seamless execution and timely delivery.
- Conduct design reviews, code assessments, and performance optimization across ML/AI pipelines and cloud environments.
- Analyze existing workflows and recommend AI-driven enhancements, integrating Databricks for advanced data engineering and analytics.
- Prepare executive-level reports and presentations, articulating technical progress, business impact, and ROI to stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
