Senior Technical Lead - Artificial Intelligent/Machine Learning

Job Description:

1. Technical Leadership & Team Management:

- Lead, mentor, and train a team of AI/ML engineers and data scientists.

- Foster a collaborative, high-performance culture focused on innovation and knowledge sharing.

2. AI/ML Project Management:

- Oversee technical execution of AI/ML projects, ensuring timely and high-quality delivery.

- Develop and manage project plans, resource allocation, and risk mitigation strategies.

3. AI/ML Development & Implementation:

- Design and implement AI/ML architectures, algorithms, and models.

- Review and approve technical designs, code, and implementations to maintain best practices.

- Ensure the reliability and performance of AI/ML solutions through rigorous testing and validation.

4. Cross-Functional Collaboration:

- Work with product managers, software engineers, and business teams to translate requirements into AI/ML solutions.

- Communicate project updates, challenges, and solutions to stakeholders and senior management.

5. Innovation & Continuous Improvement:

- Stay updated on AI/ML advancements and industry trends to enhance technical practices.

- Identify process improvement opportunities and integrate new technologies to drive innovation.

6. Documentation & Reporting:

- Maintain technical documentation, including design documents, model specifications, and implementation guides.

- Prepare and present reports on project progress, technical milestones, and team performance.

Qualifications & Skills:

- Education: Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field.

- Experience: 7+ years in AI/ML roles, with at least 3+ years in a technical leadership role.

Technical Expertise:

- Strong hands on with machine learning algorithms, Gen AI, and data processing.

- Proficiency in Python, R, or Java and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Leadership & Communication:

- Proven experience in leading AI/ML teams and managing projects end-to-end.

- Strong problem-solving and analytical skills with the ability to drive results.

- Excellent verbal and written communication skills for technical and non-technical stakeholders.

- Industry Experience: Retail domain experience is a plus but not mandatory.