Team Lead-AI Engineer

Date Opened

12/15/2025

Industry

IT Services

Job Type

Permanent

Work Experience

8-12 Years

City

Pune City

State/Province

Maharashtra

Country

India

Zip/Postal Code

411001

CCTech's mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications.

We have two business divisions: product and consulting.

simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process.

Our consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world's leading engineering organizations, many of which are Fortune 500 list of companies, in achieving digital supremacy.

We are looking for an experienced AI Engineering Team Lead to lead the design and delivery of enterprise-scale AI and GenAI solutions. The ideal candidate will bring strong hands-on expertise in AI/ML along with proven project leadership skills to drive high-quality, production-ready AI systems.

This role involves hands-on model development, architectural decision-making, mentoring engineers, and ensuring delivery excellence within an agile, fast-paced environment.

Key Responsibilities

Technical Leadership

• Lead a team of AI/ML engineers across multiple projects and delivery phases.
• Design and architect scalable AI/ML and GenAI solutions aligned with business needs.
• Review model designs, experiments, and code to ensure technical quality and robustness.
• Collaborate with architects, product owners, and domain experts to translate requirements into AI-driven solutions.

AI / ML Development

• Design, develop, and deploy machine learning models using Python and modern ML frameworks.
• Build AI solutions across NLP, Computer Vision, predictive analytics, and optimization use cases.
• Develop and integrate GenAI solutions using LLMs, prompt engineering, and RAG pipelines.
• Implement data preprocessing, feature engineering, model evaluation, and optimization workflows.
• Ensure scalability, security, and reliability of AI systems in production environments.

Delivery & Collaboration

• Own sprint planning, backlog refinement, and execution for AI projects.
• Work closely with QA, DevOps, Product, and Cloud teams for smooth releases.
• Track delivery progress, identify technical and delivery risks, and propose mitigation strategies.
• Mentor junior engineers and promote best practices in AI engineering and MLOps.

Process & Quality

• Drive Agile/Scrum practices with a focus on predictable and high-quality deliveries.
• Maintain clear documentation including solution architecture, model design, and data flows.
• Support CI/CD pipelines, MLOps workflows, and cloud deployment readiness.

Required Skills & Experience

• 8–10 years of experience in AI/ML engineering, with at least 2–3 years in a team lead role.
• Strong expertise in:
• Programming: Python
• ML Frameworks: TensorFlow, PyTorch, scikit-learn
• AI Domains: NLP, Computer Vision, predictive analytics
• Data Engineering: ETL pipelines, feature engineering, structured & unstructured data
• Experience with GenAI technologies including LLMs, prompt engineering, RAG pipelines, and vector databases.
• Hands-on experience with Docker, Git, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
• Solid understanding of Agile delivery, AI system architecture, and performance optimization.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• Experience building enterprise or SaaS-based AI platforms.
• Familiarity with LangChain, LangGraph, OpenAI / Azure OpenAI, or open-source LLMs.
• Exposure to MLOps practices such as model monitoring, drift detection, and retraining pipelines.
• Domain exposure in AEC, Manufacturing, Energy, or Industrial systems is a plus.

Soft Skills

• Strong leadership and mentoring abilities.
• Clear communication with technical and non-technical stakeholders.
• Team-oriented mindset with a focus on collaboration and quality.
• Self-driven, detail-oriented, and delivery-focused.

• Opportunity to work with a dynamic and fast-paced engineering IT organization.
• Be part of a company that is passionate about transforming product development with technology.