AI Lead

You will work across diverse domains such as NLP, computer vision, recommendation systems, predictive analytics and generative AI. The position also covers conversational AI, intelligent automation, and AI-assisted workflows for the AEC industry. A strong understanding of ethical and responsible AI practices is expected.

Key Responsibilities:

• Lead AI research, tool evaluation and strategy aligned with business needs
  
• Build and deploy models for NLP, computer vision, generative AI, recommendation systems and time-series forecasting
  
• Guide the development of conversational AI, intelligent automation and design-specific AI tools
  
• Mentor and manage a small team of AI/ML professionals
  
• Collaborate with cross-functional teams to integrate AI into products and workflows.
  
• Ensure ethical use of AI and compliance with data governance standards.
  
• Oversee lifecycle of AI models from prototyping to deployment and monitoring.
  

Qualifications and Experience Required:

• BE/BTech or ME/MTech degree in Computer Science, Data Science, Artificial Intelligence or related field
  
• Certifications in AI/ML, cloud AI platforms or responsible AI practices are a plus
  

• 4–5 years of experience in AI/ML projects
  
• Strong programming skills in Python (must-have); R is a plus
  
• Experience with TensorFlow , PyTorch , Scikit-learn , OpenCV
  
• Familiarity with NLP tools like spaCy , NLTK and Hugging Face Transformers
  
• Backend integration using FastAPI or Flask
  
• Experience deploying models using Docker , Kubernetes and cloud services like AWS , GCP or Azure ML
  
• Use of MLflow , DVC for experiment tracking and model versioning
  
• Strong data handling with Pandas , NumPy , and visualization using Matplotlib , Seaborn
  
• Working knowledge of SQL , NoSQL and BI tools like Power BI or Tableau
  

Preferred Exposure (Nice to Have):

• Familiarity with AEC , design workflows or other data-rich industries
  
• Experience collaborating with domain experts to frame and solve AI problems
  

• Proven ability to lead small AI/ML teams.
  
• Strong communication and stakeholder management
  
• Familiarity with ethical AI principles and data privacy frameworks
  
• Ability to translate business problems into AI solutions and deliver results

Compensation:

The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate.

What We Offer:

• A fulfilling working environment that is respectful and ethical
  
• A stable and progressive career opportunity
  
• State-of-the-art office infrastructure with the latest hardware and software for professional growth
  
• In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends.
  
• Culture of discussing and implementing a planned career growth path with team leaders
  
• Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.