GenAI Solution Tool integration
Summary
Integrates generative AI models and APIs into enterprise systems, prototypes third-party AI tools, and ensures secure, compliant deployments using Python, cloud platforms, and containerization.
Responsibilities:-AI Integration: integrate pre-trained or custom GenAI models and APIs into enterprise platforms and applications-Tool Evaluation & Prototyping: Evaluate, experiment with and integrate third-party AI platforms (like OpenAI, Azure, AWS) and develop rapid prototypes (PoCs) to showcase capabilities and gather feedback.-Deployment & Operations: Manage deployment, monitoring and performance tracking of AI services.-Documentation: clear, concise documentation for AI models, integrations and processes.-Compliance & Ethics: Ensure compliance with security, privacy, and data governance standards for AI systems, embedding ethical AI practices in the development processRequired Skills o Proficiency in programming languages such as Python, JavaScript, or Java, with experience using AI/ML frameworks/libraries (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).o Strong understanding of API design and integration using REST and SOAP web services.o Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing AI applications.o Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.o Agile Methodologies: Understanding of Agile principles and practices, including Scrum and Kanban.o Excellent problem-solving, analytical, and critical-thinking skills.o Strong communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholder
BE/B.Tech
8-10