Sr Solution Architect (DT Solutions)

Senior Solutions Architect

Key Responsibilities

• Solution Development & Leadership:

• Lead the development of project frameworks, integrating

  AI/ML technologies

  to solve complex business challenges presented by our clients.
• Be an integral part of ideation sessions and technical evaluations of client ideas, ensuring the

  technical feasibility and scalability of solutions

  with a hands-on approach in coding and architectural design. Facilitating these meetings will also be a key responsibility.
• Drive the translation of business needs into technical strategy, creating

  advanced solution architectures in AI/ML domains

  .
• Provide crucial

  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

  .
• Work closely with the

  Head of the Incubation Centre (CTO of WGDT)

  .
• Assess the business impact that certain technical choices will have.

• Collaboration & Problem Solving:

• Collaborate with cross-functional teams to design, test, and refine

  AI/ML models

  and resolve technical problems as they arise.

• Innovation & Continuous Improvement:

• Stay abreast of emerging

  AI/ML technologies and methodologies

  to drive innovation and continuous improvement within the incubation centre.

Education & 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

  , with a minimum of

  7 years of professional experience

  specifically in designing and implementing

  AI/ML solutions

  .
• Demonstrated experience in leading

  large-scale AI/ML projects from ideation to production

  .
• Prior experience in a startup or incubation environment is highly preferred.
• Experience of working on projects under central/state governments/PSUs is preferred.

Skills

• Programming:

  Strong programming skills in

  Python, R

  , or other relevant languages.

• AI/ML Frameworks:

  Proficiency in AI/ML libraries and frameworks (e.g.,

  TensorFlow, PyTorch

  ).

• Cloud Platforms:

  Experience with cloud platforms and a solid understanding of deploying AI/ML solutions at scale.

• Data & Ethics:

  Knowledge of best practices in

  data governance, ethics in AI

  , and ensuring privacy and security of data in machine learning models.

• Problem-Solving:

  Excellent problem-solving, analytical, and critical thinking skills.

• Adaptability:

  Proven ability to work effectively in a dynamic and fast-paced environment.

• Communication & Leadership:

  Strong communication and leadership skills, with the capability to mentor and lead technical teams.