Associate AI Engineer

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.