Description
ai integration
model deployment
ai research
tool evaluation
team mentorship
ethical ai
As the AI Lead, you will be responsible for owning the AI roadmap — from suggesting relevant tools and frameworks to leading experimentation and implementation across areas such as NLP, computer vision, recommendation systems, and generative AI. You will drive innovation, explore state-of-the-art technologies, and ensure responsible AI practices while mentoring your team through design, development, and deployment.
We are looking for a forward-thinking and hands-on AI Lead to spearhead all artificial intelligence initiatives within our organization. This role involves leading a small, skilled team of data scientists, ML engineers, and interns to identify, research, and implement AI solutions that align with business goals. The ideal candidate will bring expertise across key AI domains, guide technical decision-making, and actively contribute to the development of cutting-edge, production-ready AI models.
- Apply AI in AEC use cases.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Oversee model deployment, monitoring, and maintenance for performance and reliability.
- Conduct research and experimentation across NLP, computer vision, predictive analytics, generative AI, and recommendation systems.
- Propose and evaluate tools, libraries, and cloud services for AI development.
- Guide and mentor a team of 1 Data Scientist, 1 ML Engineer, and 1 Intern.
- Promote ethical and responsible AI, focusing on fairness, transparency, and data privacy.
- Lead development of Conversational AI (chatbots, voice interfaces) and intelligent automation solutions.
- Define the AI strategy and lead end-to-end execution of AI initiatives.
- Identify opportunities to apply AI across business processes and products.
Requirements
python
tensorflow
aws
docker
sql
computer vision
- Cloud experience with AWS, GCP, or Azure ML.
- Expertise in TensorFlow, PyTorch, Scikit-learn, and OpenCV.
- Computer Vision
- Familiarity with ethical and responsible AI frameworks.
- AI in AEC or design-related use cases
- Generative AI (LLMs, image generation)
- Intelligent Process Automation
- Strong background in data manipulation (Pandas, NumPy) and visualization (Matplotlib, Seaborn).
- ML lifecycle management tools like MLflow, DVC, or similar.
- Familiar with Power BI or Tableau for visual insights (optional).
- Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
- Solid understanding of SQL/NoSQL databases and data engineering workflows.
- Strong analytical and problem-solving skills.
- Proven ability to lead AI projects from concept to deployment.
- Conversational AI & Chatbots
- Strong proficiency in Python (must-have); knowledge of R is a plus.
- Effective communication with technical and non-technical stakeholders.
- Familiarity with web frameworks for serving models (e.g., FastAPI, Flask).
- Containerization and orchestration using Docker and Kubernetes.
- Certifications in AI/ML or cloud AI services are a plus.
- 4–5 years of hands-on experience in AI/ML development and deployment.
- Experience with NLP frameworks like NLTK, spaCy, and Hugging Face Transformers.
- Natural Language Processing (NLP)
- Predictive Analytics & Time Series
Benefits
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.
- A stable and progressive career opportunity
- State-of-the-art office infrastructure with the latest hardware and software for professional growth
- A fulfilling working environment that is respectful and ethical
Training + Development
Information not given or found
