AI Solution Architect

- Design and implement AI-driven solutions that integrate machine learning, NLP, and other AI technologies. - Lead the architecture and deployment of AI models in production environments. - Collaborate with data scientists, engineers, and business leaders to identify AI use cases and opportunities. - Ensure the scalability, reliability, and performance of AI solutions across the organization. - Develop and maintain AI governance frameworks, including ethical considerations and bias mitigation. - Stay up dated with the latest advancements in AI and integrate cutting-edge technologies into solutions. - Provide technical leadership and mentorship to the AI and data science teams. - Present AI solutions and strategies to executive leadership and key stakeholders. Profile Description: - Experience:12-15 years in software architecture and AI solutions, with deep experience in machine learning and data science. - Skills: Proficiency in AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (GCP,AWS, Azure), and programming languages (Python, R). - Qualifications: Masters or PhD in Computer Science, AI, or related field. - Competencies: Strategic thinking with strong leadership skills to guide AI initiatives acrossthe enterprise. - Certifications:AI/ML specialization or certification from recognized institutions. - Knowledge :Extensive experience in deploying AI solutions at scale, with a focus on MLOps practices. - Soft Skills: Excellent communication and collaboration skills to work with cross-functional teams and stakeholders. Required abilities - Physical: - Other: Work Environment Details: Specific requirements - Travel: - Vehicle: - Work Permit: Other details - Pay Rate: - Contract Types: - Time Constraints: - Compliance Related: - Union Affiliation: Skills: Machine Learning, Api Development, data engineering , Cloud Computing Experience: 12.00-15.00 Years