AI Solution architect (8-12 Years), Pan India

Job description

Dear Professionals Greetings from Tata consultancy Services, Job Title AI Solution Architect Experiernce: 8-12 Years Location: Pan India Mode of Work : Work from Office Mode of Interview: Virtual You will collaborate closely with clients, stakeholders, and development teams to understand business objectives, identify opportunities for AI/ML applications, and design innovative solutions for clients that drive business growth. Your expertise in AI, ML, and GenAI will be instrumental in helping organizations unlock new possibilities and creative applications for their data **. Skills and Qualification** - s:Bachelor's or Master's degree in Computer Science, Data Science, or a related fiel - d.Proven experience as an AI architect, data architect, or similar role, with a strong focus on scaled AI/ML/GenAI solution - s.In-depth knowledge of AI technologies, algorithms, and framework - s.Proficiency in programming languages commonly used, such as Python, R, Scala or SQ - L.Experience with AI/ML platforms, libraries, and tools, such as TensorFlow, PyTorch, scikit-learn, or Apache Spar - k.Familiarity with cloud platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake) and AI/ML concepts and technologies (Control Towers, MLOps, Generative Adversarial Networks, SageMaker, MLFlow, OpenAI GPT, Bedrock, DALL-E - ).Strong knowledge of data architecture, data modeling, and data integration concept - s.Excellent problem-solving and analytical skills, with the ability to design innovative AI and ML solutions for complex business problem - s.Strong communication and presentation skills, with the ability to effectively communicate technical concepts and value propositions to diverse audience - s.Experience in leading and collaborating with cross-functional teams in an agile development environmen - t.Strong understanding of software engineering principles and practice - s.Strong project management skills and ability to work in a fast-paced environmen - t.Relevant certifications (e.g., AWS or Azure Certified Machine Learning - Specialty, LLM courses) and industry experience (Financial Services, Healthcare) are a plu s.