- Company Name
- Next Insurance
- Job Title
- Machine Learning Manager
- Job Description
-
**Job Title**
Machine Learning Manager
**Role Summary**
Lead and mentor a high‑performance team of AI and backend engineers, driving the delivery of production‑grade machine learning models and scalable backend services. The role blends technical leadership, people management, and cross‑functional collaboration to shape the team's architecture, processes, and innovation culture.
**Expectations**
- 5+ years of engineering leadership and direct supervision.
- 3+ years of integrating AI/ML models into production systems.
- Proven strategic planning, prioritization, and ambiguity tolerance.
- Strong communication, collaboration, and planning skills.
- Ability to operate effectively under fast‑moving, ambiguous environments.
- (Optional) Experience with agentic AI and distributed systems.
**Key Responsibilities**
- Build, onboard, and develop a new team of AI and backend engineers.
- Mentor engineers, conduct regular code reviews, and provide technical guidance.
- Own end‑to‑end project delivery from requirements through deployment.
- Define priorities, coordinate with product and cross‑functional stakeholders.
- Establish and enforce processes for planning, execution, and quality assurance.
- Champion innovation in AI architecture, tooling, and workflows.
- Promote a culture of experimentation, learning, and continuous improvement.
- Identify process inefficiencies, propose initiatives, and drive improvements.
**Required Skills**
- Leadership and people management in a technology setting.
- Expertise in AI/ML model deployment, scaling, and performance optimization.
- Backend engineering proficiency (high‑performance, distributed systems).
- Strategic thinking, prioritization, and risk management.
- Excellent communication, facilitation, and stakeholder management.
- Ability to thrive in ambiguous, high‑velocity environments.
- Familiarity with agentic AI considered a plus.
**Required Education & Certifications**
- Bachelor’s or Master’s in Computer Science, Software Engineering, or related field (not explicitly specified).
- Certifications in cloud platforms, AI/ML, or engineering management are a plus but not mandatory.