We are seeking a highly skilled and motivated Technical Lead to join our dynamic team. In this role, you will drive the technical direction for projects related to AI/ML enhancement, lead project planning efforts, and ensure successful execution of the project roadmaps. You will also play a crucial role in impact analysis, release management, and the overall success of the projects. The ideal candidate will have a strong technical background in AI/ML, experience in leading teams, and a keen understanding of project management and product delivery.

Key Responsibilities:

1. Technical Leadership & AI/ML Enhancements:

• Lead the design, development, and enhancement of AI/ML algorithms and models to meet business objectives and performance goals.
• Drive innovation in AI/ML techniques, ensuring the team stays at the forefront of emerging technologies and methodologies.
• Review and optimize AI/ML models and data pipelines for performance, scalability, and robustness.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and applications.

2. Project Planning & Roadmap Development:

• Define technical project plans, outlining milestones, timelines, and deliverables in alignment with business objectives.
• Prioritize tasks and allocate resources effectively to ensure the successful execution of projects.
• Lead planning sessions with stakeholders to gather requirements, clarify technical challenges, and set realistic expectations.
• Develop and maintain the overall project roadmap, ensuring timely delivery of features and functionality.

3. Impact Analysis & Risk Management:

• Conduct thorough impact analysis to assess the potential effects of new features, changes, or AI/ML model updates on existing systems and operations.
• Identify technical risks, propose mitigation strategies, and track progress to minimize project disruptions.
• Provide technical insights to stakeholders and ensure alignment between technical goals and business needs.                                                                                                                                                   

4. Release Management:

• Manage the software release lifecycle, from development to production deployment, ensuring quality, stability, and consistency.
• Collaborate with QA, DevOps, and other teams to define testing strategies, release schedules, and deployment plans.
• Oversee post-release monitoring, addressing any production issues, and ensuring timely bug fixes and patches.
• Facilitate efficient version control and code deployment processes.

5. Team Collaboration & Mentoring:

• Lead and mentor a team of engineers, providing guidance, technical expertise, and career development support.
• Foster a collaborative environment where team members can contribute ideas, solve problems, and share knowledge.
• Participate in code reviews, providing constructive feedback and ensuring high code quality standards.