We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects. Core Responsibilities • Develop, train, test, and optimize machine learning models for real-world applications. • Perform data collection, cleaning, preprocessing, and feature engineering to prepare datasets for model development. • Implement machine learning and deep learning algorithms to solve business problems. • Develop AI-powered applications using Large Language Models (LLMs), prompt engineering, and Generative AI techniques. • Build and integrate Retrieval-Augmented Generation (RAG) pipelines and work with embeddings and vector databases where required. • Evaluate model performance using appropriate metrics and improve accuracy, efficiency, and reliability. • Integrate AI/ML models into applications using REST APIs and backend services. • Assist in deploying models to production and maintaining their performance. • Collaborate with software engineers, product teams, and other stakeholders to deliver AI-driven solutions. • Maintain clean, reusable, and well-documented code while following software development best practices. • Stay updated with emerging AI/ML technologies, frameworks, and industry trends. Qualification • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. • At least 1 year of hands-on experience in AI/ML development through professional employment or relevant practical experience. • Experience working on AI/ML projects, with the ability to explain the approach, implementation, and results. • Understanding of the machine learning development lifecycle, from data preparation to model evaluation and deployment. • Ability to troubleshoot technical issues and work collaboratively within a team. Requirements • Proficiency in Python programming and object-oriented programming concepts. • Working knowledge of NumPy, Pandas, and Scikit-learn. • Understanding of supervised and unsupervised learning algorithms. • Familiarity with deep learning frameworks such as PyTorch or TensorFlow. • Knowledge of data preprocessing, feature engineering, and model evaluation techniques. • Basic experience with Generative AI, LLMs, prompt engineering, or AI APIs. • Familiarity with REST APIs, Git, and model deployment practices. • Strong analytical thinking, problem-solving, and communication skills. Benefits Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.