Primary Duties:
- Build a high performing team by hiring and nurturing engineering talent.
- Strong technical leadership - drive technical solutioning and building roadmaps.
- Set aggressive and clear goals and remove all roadblocks for the team to achieve them.
- Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes.
- Work closely with engineering leaders to drive engineering excellence in our processes and systems.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required.
- 10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software.
- 5+ years of managerial experience building and leading technical engineering teams.
Preferred Knowledge, Skills, and/or Abilities
- You have experience in attracting, hiring, and coaching world-class engineers including performance management.
- You have experience in taking ownership of the technology decisions, while delegating and empowering team members.
- You have experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
- You have strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.
Domain Specific Knowledge, Skills, and/or Abilities:
- Strategic Vision: Proven ability to craft and execute a strategic vision for an AI/ML-focused team, particularly in applying AI-enabled workflows in healthcare/enterprise settings. Experience in aligning day-to-day AI/ML development efforts with long-term strategic goals.
- Technical Expertise:
- 7+ years of experience in machine learning related technologies, with a strong preference for Python.
- Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures.
- Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles.
- Planning and Communication: Demonstrated experience in translating business objectives into technological roadmaps, aligning short-term actions with long-term strategic goals, and effectively communicating these plans to both technical and non-technical stakeholders.
- Skilled at aligning short-term AI/ML initiatives with long-term strategic goals and communicating these plans effectively to both technical and non-technical stakeholders.
- Research Orientation: Familiarity with current AI/ML research trends and the ability to translate published advancements into practical healthcare applications.
- Mentorship: Proven track record of mentoring and developing AI/ML talent within engineering teams.
- Collaborative Leadership: Exceptional skills in working effectively with cross-functional teams, including product managers, designers, data scientists, and clinical staff.
- Data-Driven Decision Making: Ability to leverage data-driven insights to inform engineering and research roadmaps, resource allocation, and strategic planning.
- Business Acumen: Ability to prioritize AI/ML platform features that meet business needs while maintaining security, scalability, and performance.
- Startup experience: Understanding of the fast-paced, dynamic environment of a startup is highly valuable.
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