CCTech - AI Engineering Team Lead - Artificial Intelligence/Machine Learning

Job Description :

- 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.

Requirements :

Required Skills & Experience :

- 810 years of experience in AI/ML engineering, with at least 23 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 :

- Bachelors or Masters 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.

Benefits :

- 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