AI/ML Engineering Lead/Technical Architect

Job Summary:
- We are looking for a visionary and hands-on AI/ML Engineering Lead/Technical Architect to define and build our enterprise-wide AI and machine learning capabilities. - In this critical leadership role, you will be responsible for the strategic vision, architecture, and execution of our AI initiatives. - You will lead a team of engineers and data scientists, designing and implementing scalable and robust AI/ML systems that solve complex business problems and drive innovation. - This role requires a unique blend of deep technical expertise and strong leadership skills.

**Key Responsibilities :** - Define the strategic roadmap and technical architecture for AI/ML across the organization. - Lead the design, development, and deployment of scalable and reliable machine learning models and AI systems. - Build and mentor a high-performing team of ML engineers, data scientists, and software engineers. - Drive the adoption of MLOps best practices, including model lifecycle management, CI/CD, and monitoring. - Collaborate with business stakeholders to identify, prioritize, and scope high-impact AI opportunities. - Evaluate and select appropriate AI/ML technologies, frameworks (TensorFlow, PyTorch), and cloud platforms. - Ensure the ethical and responsible development of AI models.   
 
**Required Qualifications:** - Masters or PhD in Computer Science, AI, ML, or a related field. - 10+ years of experience in software engineering, with at least 5 years in a leadership role focused on AI/ML. - Deep expertise in machine learning algorithms, deep learning, and natural language processing. - Strong experience in designing and building large-scale AI/ML systems in a cloud environment. - Expertise in MLOps, model deployment, and continuous monitoring. - Exceptional leadership, communication, and stakeholder management skills.   
 
**Preferred Qualifications:** - Experience with Generative AI (LLMs, RAG). - Experience in a specific industry (e.g., Finance, Healthcare). - Published research papers in reputable AI conferences or journals. - Experience working in a start-up or rapid prototyping environment.   
 
**Key Competencies:** - Strategic vision and thought leadership. - Excellent team-building and mentoring skills. - Deep technical and analytical capabilities. - Strong business acumen. - Exceptional communication and influencing skills.