Artificial Intelligence/Machine Learning Architect (10-15 yrs)

Experienced and skilled technical lead / Architect to drive AI solutions across the organization liaising between the Product Management team and the engineering teams, translating business requirements into robust, scalable, and innovative AI solutions.

Responsibilities :

- Technical Leadership & Solution Architecture: Lead the design, architecture, and implementation of AI solutions utilizing Google Gemini, Python, and other relevant AI/ML technologies. This includes defining system architectures, identifying appropriate technologies, and ensuring scalability and maintainability.

- Business Case Solutioning: Collaborate closely with the Product Management team to understand business needs and translate them into feasible and impactful AI solutions. This involves analyzing requirements, identifying potential use cases, and developing comprehensive technical solutions.

- Technology Evaluation & Selection: Research, evaluate, and recommend the most suitable AI/ML technologies and frameworks to address specific business challenges. Stay abreast of the latest advancements in the AI landscape, particularly concerning Google Gemini and related ecosystems.

- Collaboration & Communication: Effectively communicate technical concepts to both technical and non-technical audiences. Collaborate effectively with cross-functional teams, including Product Management, Engineering, and Operations.

- Documentation & Knowledge Sharing: Create and maintain comprehensive technical documentation, including architecture diagrams, design specifications, and implementation details. Contribute to the development of internal knowledge bases and best practices.

Required Skills & Qualifications:

- Extensive experience in designing, developing, and deploying Analytics projects. Hands on experience in building AI/ML solutions. Proven track record of successfully delivering complex AI projects.

- Deep understanding of Google Gemini's capabilities and limitations. Experience working with Google Cloud Platform (GCP) and its AI/ML services is highly desirable.

- Proficiency in Python and other relevant programming languages used in AI/ML development (e.g., TensorFlow, PyTorch).

- Strong expertise in various AI/ML techniques, including deep learning, natural language processing (NLP), computer vision, and reinforcement learning.

- Experience with designing and implementing scalable and robust AI systems. Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes) is a plus.

- Excellent problem-solving and analytical skills. Ability to quickly understand complex business problems and translate them into technical solutions.

- Strong communication, interpersonal, and collaboration skills. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

- Experience working in an Agile development environment.

- Education in Computer Science, Engineering, or a related field.

Preferred Skills & Qualifications :

- Experience with AI/ML frameworks relevant to Google Gemini.

- Experience with data engineering frameworks and technologies.

- Experience with MLOps and CI/CD pipelines.

- Experience with deploying AI models to production environments.

- Prior experience working within a COE structure.