AI/ML Engineer

• AI/ML Development: Develop and improve machine learning and AI-based applications using Python.
• Generative AI: Work with LLMs and Generative AI technologies to build useful business applications.
• RAG Applications: Assist in developing Retrieval-Augmented Generation (RAG) solutions using documents, embeddings, and vector databases.
• Model Development: Train, test, evaluate, and improve machine learning models.
• AI Prototyping: Build prototypes and proof-of-concept AI solutions for new business requirements.
• Data Processing: Work with structured and unstructured data to prepare datasets for AI/ML applications.
• Collaboration: Work with software engineers, data professionals, and business teams to understand requirements and deliver solutions.
• Testing & Optimization: Test AI/ML solutions and help improve their accuracy, reliability, and performance.
• Continuous Learning: Stay updated with new AI/ML tools, frameworks, models, and industry practices.

The ideal candidate will have 1-3 years of experience in AI/ML, strong Python skills, and an interest in working with modern technologies such as Generative AI, LLMs, RAG, and AI agents., * 1-3 years of professional experience in Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
• Strong programming skills in Python.
• Basic to intermediate understanding of machine learning concepts and algorithms.
• Experience with Scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.
• Familiarity with Generative AI and LLMs.
• Understanding of RAG, embeddings, vector databases, or prompt engineering is a plus.
• Basic experience with SQL and data processing.
• Familiarity with cloud platforms such as AWS, Azure, or GCP is preferred.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn and work with emerging AI technologies.

Preferred Qualifications

• Experience with OpenAI APIs, Hugging Face, LangChain, or similar AI tools.
• Exposure to AI agents or agentic workflows.
• Experience with Git and standard software development practices.
• Internship, academic, or personal AI/ML projects are a plus.
• Experience building or deploying AI/ML applications is preferred.

Skills

AI, Artificial Intelligence, Machine Learning, Python, Generative AI, LLM, Large Language Models, RAG, Retrieval-Augmented Generation, Prompt Engineering, AI Agents, Vector Databases, Embeddings, Scikit-learn, TensorFlow, PyTorch, SQL, Data Processing, AWS, Azure, GCP, Git, Software Engineering, Data Science, Problem Solving, Communication, Collaboration.