SRI Tech Solutions Inc
Tampa, FL
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Job Description :

3 rounds of interview in that 1 round of interview is Face to Face interview

Description :

  • Gen AI Architects are responsible for designing, AI systems that can transform the way we do business, serve customers, and manage risks.
  • You will work with a multidisciplinary team of experts, including data scientists, engineers, analysts, and business stakeholders, to deliver AI solutions that are scalable, reliable, and ethical.
  • You will also have the opportunity to learn from the best in the industry, and grow your skills and career in a fast-paced and dynamic environment.

Responsibilities:

  • Define the vision, strategy, and roadmap for AI solutions in the financial industry.
  • Design, develop, and deploy AI systems that can solve complex business problems and create value for customers and stakeholders.
  • Ensure the quality, performance, and security of AI systems, and adhere to the best practices and standards for AI development and deployment.
  • Collaborate with data scientists, engineers, analysts, and business stakeholders to understand the requirements, challenges, and opportunities for AI solutions.
  • Communicate the benefits, risks, and limitations of AI solutions to various audiences, and provide guidance and support for AI adoption and governance.
  • Research and evaluate new technologies, tools, and methods for AI development and deployment, and stay updated with the latest trends and developments in the field.

Qualifications:

  • Bachelor's degree or higher in computer science, engineering, mathematics, or related field.
  • At least 5 years of experience in AI development and deployment, preferably in the financial industry.
  • Proficient in one or more programming languages, such as Python, Java.
  • Proficient in LLMs and Vector Databases
  • Expertise in one or more AI frameworks, such as LangChain.
  • Knowledge of AI concepts, such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
  • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a team.
             

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