Key Responsibilities

Project Management Client Collaboration

- Lead multiple AI and software projects with offshore teams, ensuring timely delivery and quality outcomes.
- Serve as the primary point of contact for clients, aligning technical solutions with business needs.
- Facilitate sprint reviews, status updates, and client calls using Agile methodologies (Scrum, Kanban).

Leadership Team Growth

- Mentor and scale engineering teams, fostering a culture of innovation and collaboration.
- Support team performance reviews and technical skill development.

Technical Oversight AI/ML Integration

- Provide guidance on frontend (React.js/Angular) and backend (.Net Core/Node.js) development.
- Collaborate with Data Scientists and ML Engineers to integrate and deploy AI/ML models.
- Leverage MLOps practices to streamline AI pipelines and ensure production-ready solutions.
- Oversee AWS cloud deployments, focusing on scalability, cost efficiency, and security.

Risk Management Delivery

- Identify and mitigate project risks, tracking KPIs like delivery timelines and sprint velocity.
- Resolve issues proactively to keep projects on track.

Stakeholder Engagement Pre-Sales

- Present project roadmaps and technical insights to executives and clients.
- Support pre-sales with estimations, proposals, and scope definition for AI-driven projects.

Key Requirements

Technical Skills

- Must-Have :




- Experience managing software projects with frontend (React.js or Angular) and backend (.Net Core or Node.js) components.
- Knowledge of AWS cloud services (e.g., EC2, S3, Lambda) and CI/CD pipelines.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and deployment tools (e.g., AWS Sage Maker).
- Nice-to-Have :
- Hands-on coding experience in Python or Scala.
- Exposure to big data tools (e.g., Spark, Kafka) or databases (SQL, NoSQL).

AI/ML Experience

- Candidates with experience in managing AI/ML projects will be preferred.
- Proven ability to oversee AI/ML integration into products (training and deployment experience is a plus).
- Basic understanding of AI ethics and governance principles.

Project People Management

- 5+ years leading offshore development teams in an Agile environment.
- Solid English communication skills for client and team interactions.
- Experience scaling teams and managing multiple projects concurrently.

Risk Compliance

- Ability to anticipate and resolve technical/operational risks.
- Familiarity with compliance standards (e.g., GDPR, SOC2) is a plus.

Preferred Qualifications (Optional)

- Certifications like PMP, Certified Scrum Master (CSM), or AWS Solutions Architect.
- Exposure to AI/ML certifications (e.g., AWS Machine Learning Specialty).

📌 Technical Project Manager (Chennai)
🏢 iTech India
📍 Chennai