Senior Manager, Machine Learning
New
Remote-first work flexibility within India-based locationsFull-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years of experience in Applied Machine Learning or AI, including 3+ years in a leadership role
- Required Skills
- Cloud ComputingMachine LearningMLOps
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).
- 10+ years of experience in Applied Machine Learning or AI, including 3+ years in a leadership role managing ML engineers or data scientists.
- Proven experience building and scaling large-scale ML platforms or AI-driven products.
- Deep expertise in production ML systems, including LLM orchestration, embeddings, vector databases, and conversational AI systems.
- Strong experience with MLOps/LLMOps practices, including evaluation frameworks for non-deterministic AI systems.
- Solid background in cloud platforms such as AWS, GCP, or Azure, and large-scale data systems.
- Demonstrated ability to define technical strategy and influence product direction in cross-functional environments.
- Excellent communication, mentoring, and stakeholder management skills.
- Experience in hiring and scaling technical teams in fast-growing environments.
Responsibilities
- Translate ambiguous business problems into clear, prioritized machine learning product and platform roadmaps.
- Lead the design, development, and deployment of production-grade ML systems, including LLM-based and conversational AI solutions.
- Act as a hands-on technical leader (player-coach), contributing to architecture, experimentation, and model development.
- Build and optimize ML engineering infrastructure, enabling rapid iteration, experimentation, and deployment at scale.
- Define KPIs and success metrics to evaluate ML model performance and business impact.
- Manage project delivery, including timelines, dependencies, risks, and cross-functional alignment.
- Recruit, mentor, and develop high-performing ML engineers while fostering a culture of innovation and ownership.
- Collaborate with product, engineering, and business stakeholders to ensure alignment and execution of strategic goals.
View Full Description & ApplyYou'll be redirected to the employer's site
