AI / ML Architect

Responsibilities:

• Possessing a certificate in ML (Machine Learning) and an Architect Certificate in Azure Cloud or AWS Cloud.
• Provide training and support to internal stakeholders on AI technologies and solutions.
• Participate in the development of proof-of-concepts (POCs) and pilot projects to demonstrate AI-powered solutions.
• Collaborate with sales teams to identify new business opportunities and develop go-to-market strategies.
• Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications.
• Leading teams on the latest AI tools and solutions, mentoring junior architects and developers, and providing guidance on best practices.

Requirements:

• 8 years of experience in designing and architecting solutions with artifacts and technical documents using LLM, generative AI, RAG, and agentic AI applications.
• Strong understanding of LLM, generative AI, RAG, and agentic AI applications.
• Creating detailed technical designs and documentation that accurately reflect the proposed solution and its components.
• Developing and implementing various types of solutions using programming languages such as Python, . Net, Java, etc.
• Working with data scientists, engineers, and other stakeholders to understand and implement machine learning algorithms such as regression, classification, and clustering.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience working with large datasets and data processing tools, such as Spark or Hadoop.
• Familiarity with Agile development methodologies and version control systems, such as Git.
• Strong leadership, communication, and teamwork skills.
• Ability to learn quickly and adapt to new technologies.
• Design and implement machine learning models and algorithms.
• Excellent problem-solving skills and ability to think critically about complex systems.
• Experience working with cloud platforms such as Azure Cloud or AWS Cloud.