AI Engineer (Machine Learning, Python, SQL)

Technologies We Use AI/ML Stack: Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), fine-tuning techniques, multi-agent systems, agent workflows. Development Languages: Python, TypeScript Infrastructure: TensorFlow, PyTorch, LangChain, Hugging Face, GCP, Serverless architecture Data & Tools: SQL, PostgreSQL, MongoDB, Redis, Pandas, NumPy Recommendation Systems: Personal AI Assistant, collaborative filtering, content-based filtering Required Skills & Experience Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field. Experience: 2+ years of professional experience in AI/ML or data science roles, with a proven track record of deploying AI solutions in production. Technical Expertise:  Proficient in machine learning, deep learning, and natural language processing techniques. Experience working with LLMs, fine-tuning, and multi-agent systems. Strong understanding of recommendation systems, including collaborative and content-based filtering. Familiarity with AI workflows, including RAG, agent workflows, and personalization strategies. Programming Skills: Proficient in Python, with experience in AI/ML frameworks like TensorFlow, PyTorch, and LangChain. Data Handling: Experience working with large datasets, data preprocessing, and analytics using tools like Pandas and NumPy. Soft Skills: A team player with strong problem-solving skills, the ability to communicate complex ideas effectively, and a passion for innovation.