Senior AI/ML Solutions Architect
2 weeks ago
The Role Context:
We are seeking an experienced and innovative Senior Solutions Architect to join our AI/ML Incubation Centre. The ideal candidate will be responsible for transforming creative ideas into scalable and impactful technological solutions. This role will require a deep understanding of artificial intelligence and machine learning, with the ability to navigate and lead complex project ecosystems from conception to deployment.
Key Responsibilities:
• Lead the development of project frameworks, integrating AI/ML technologies to solve complex business challenges presented by our clients.
• Be part of the ideation session and technical evaluation of the ideas coming from the clients to ensure the technical feasibility and scalability of solutions with a hands-on approach in coding and architectural design.
• Collaborate with cross-functional teams to design, test, and refine AI/ML models and resolve technical problems, as they arise.
• Drive the translation of business needs into technical strategy, creating advanced solution architectures in AI/ML domains.
• Provide technical leadership, mentorship, and guidance to development teams throughout the incubation and solution lifecycle.
• Oversee the solution development process, ensuring best practices in machine learning, data management, and software development.
• Stay abreast of emerging AI/ML technologies and methodologies to drive innovation and continuous improvement within the incubation centre.
• Work closely with Head Incubation Centre (CTO of WGDT).
• Assess the business impact that certain technical choices have.
Skills & Experience:
Education
• Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, Machine Learning or equivalent education.
Experience.
• Total experience of 10 to 15 years out of which a minimum of 7 years of professional experience in designing and implementing AI/ML solutions.
• Demonstrated experience in leading large-scale AI/ML projects from ideation to production.
• Strong programming skills in Python, R, or other relevant languages with proficiency in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms and understanding of deploying AI/ML solutions at scale.
• Knowledge of best practices in data governance, ethics in AI, and ensuring privacy and security of data in machine learning models.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work in a dynamic and fast-paced environment.
• Strong communication and leadership skills, with the capability to mentor and lead technical teams.
• Prior experience in a startup or incubation environment is highly preferred.
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