Senior Manager, ML Engineering
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Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries.
Responsibilities
Technical Responsibilities:
• Understand complex business problems and implement product features that are secure, scalable, robust, and easy to implement and maintain for AI products.
• Take full ownership of product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
• Identifying and leading technical initiatives independently towards planned outcomes.
• Collaborate with Data Scientists, Python Engineers, and Product Management to design and deliver product features.
• Stay abreast of the latest AI/ML research and technologies and evaluate their applicability to business problems.
• Oversee the end-to-end lifecycle of AI features - from ideation and prototyping to deployment and monitoring.
People Management Responsibilities:
• Provide technical and career mentorship to team members; foster a culture of continuous learning and improvement.
• Embrace an AI-first approach to enhance efficiency across all areas.
• Manage and guide a team of AI Engineers, including performance evaluations, goal setting, and skill development.
• Facilitate effective collaboration within the team and across cross-functional stakeholders (QA, Product, Architecture).
• Promote a positive team environment, resolve conflicts, and support team engagement and motivation.
• Support resource planning, workload distribution, and succession planning based on project and organizational needs.
• Act as a point of escalation for team-related challenges and facilitate solutions in coordination with leadership.
Qualifications
• Experience - 12-16 years with at least 4–6 years in AI/ML-focused roles and 2+ years in leadership capacity.
• Exposure to Agile methodologies and DevOps practices.
• Expertise on the Microsoft technology stack (ASP.NET MVC 3.5 / 4.0 / 4.5, Web API, SQL Server).
• Good knowledge of Client-side scripting JavaScript and jQuery, Kendo, ReactJS.
• Good knowledge of AI services and LLMs to deliver solutions.
• Familiarity with responsible AI practices, model interpretability, and ethical AI considerations.
• Good to have Python and familiarity with data engineering tools and cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of design patterns is required.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Demonstrated experience with non-functional requirements like performance, scalability, and security.
• Experience in AI Product Engineering is desirable.