Key Responsibilities • Model Development: Build, train, and deploy machine learning models, including LLMs, NLP, and computer vision models. • System Integration: Develop APIs and integrate AI models into production-level software applications. • Data Processing: Work with unstructured data, manage data pipelines, and utilize tools like Apache Airflow. • AI Optimization: Implement prompt engineering, RAG (Retrieval-Augmented Generation) patterns, and model guardrails. • Collaboration: Work in Agile teams to deliver automated, intelligent systems. Requirements Required Qualifications & Skills • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a quantitative field. • Experience: 1–3 years of hands-on experience in ML/AI development. • Technical Skills: Proficiency in Python, JavaScript/TypeScript, SQL, and data science libraries (PyTorch, TensorFlow, Scikit-learn). • Cloud Platforms: Experience with Azure AI, AWS, or Google Cloud Platform. • Emerging Tech: Experience with Generative AI, LLMs, and agentic architectures.