About the role
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.