Key Skills:Agentic AI, AWS, LLM, Api Integration, Gen AI, AI Artificial intelligence, Data Management, DevOps
Roles and Responsibilities:
- Design and develop machine learning models, algorithms, and AI-driven systems.
- Implement and optimize AI models to ensure strong performance, scalability, and reliability.
- Collect, preprocess, and analyze large datasets to build effective AI solutions.
- Ensure data quality and integrity through validation and monitoring processes.
- Train, test, and validate AI models to achieve high accuracy and robustness.
- Integrate AI models into existing enterprise systems and applications through APIs.
- Deploy AI solutions into production environments and continuously monitor performance.
- Collaborate with data scientists, software engineers, and business stakeholders to gather requirements and deliver solutions.
- Communicate complex AI concepts and project outcomes to non-technical stakeholders.
- Stay updated with emerging AI trends, tools, and best practices, including Agentic AI advancements.
- Document AI workflows, models, and implementation processes for governance and knowledge sharing.
- Prepare project reports, presentations, and updates on AI initiatives, results, and business impact.
Skills Required:
- Strong experience in Artificial Intelligence, Generative AI, and Large Language Models (LLMs).
- Proficiency in integrating AI solutions using API-based architectures.
- Hands-on expertise with AWS cloud services for AI development and deployment.
- Understanding of Agentic AI systems and intelligent automation workflows.
- Familiarity with DevOps practices for deploying and managing AI applications.
- Knowledge of data management principles, preprocessing, and validation techniques.
- Strong problem-solving abilities and effective communication skills.
Education:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is required. A Master's degree is an added advantage.
