Senior Manager
- Icertis
- 13 - 22 years
- Pune
- 12 hours ago
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Job Description
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 - 13-20 years with at least 46 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Engineering ManagerEmployement Type: Full timeContact Details:
Company: IcertisLocation(s): Pune+ View Contact
Keyskills: Generative AI .Net Aiml
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This is a manufacturing, Trading and Retail Sales Company.\r\nProducts: Door, Chokhat, Plywood, Board etc.
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