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.