Description

Key Responsibilities

• Model Development: Design, train, and optimize machine learning and deep learning models for various applications.
• Data Processing: Collect, clean, and preprocess large datasets for training and inference.
• Deployment: Implement and deploy AI models into production environments using scalable architectures.
• Research & Innovation: Stay updated with the latest AI trends and integrate cutting-edge techniques into solutions.
• Collaboration: Work closely with data scientists, software engineers, and product teams to deliver AI-powered features.
• Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and reliability.
• Develop : Microsoft related AI Tools  

 Required Skills & Qualifications

• Education: Bachelor’s or master’s in computer science, AI, Data Science, or related field.
• Technical Skills:
  • Proficiency in Python, Agentic AI(autogen),MCP, OpenAI
  • Strong understanding of machine learning algorithms, NLP, and computer vision.
  • Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Knowledge of data engineering tools and frameworks.
  • Experience in code debugging, API Design knowledge
• Soft Skills: Problem-solving, analytical thinking, and excellent communication.

Preferred Qualifications

• Experience with LLMs (Large Language Models),Agentic AI and generative AI.
• Familiarity with MLOps practices and CI/CD pipelines.
• Hands-on experience with API development and integration.
• Hands-on experience in Microsoft related AI Tools

Key Skills

Education

Bachelor's or Master's degrees