▷ [06/11/2025] AI/ML Engineer

About Client: A leading global information technology, consulting, and business process services organization, the company delivers innovative solutions that enable clients across industries to thrive in the digital era. With a strong focus on technology-driven transformation, it helps enterprises harness the power of cloud, AI, automation, and analytics to achieve operational excellence and sustainable growth. Backed by decades of expertise and a workforce spread across more than 50 countries, the company is recognized for its commitment to innovation, quality, and customer satisfaction. Job Title: AI/ML Engineer Location: Pan India Experience: 6+ yrs Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Job Description:- Responsibilities: - Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. - Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. - Review and Feedback: Provide detailed, constructive feedback on model and other outputs - Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. - Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. - Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: - Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy - Programming Proficiency: Demonstrated expertise in: - Python (must-have) and at least one or more common programming languages such as: JavaScript, Rust, Node.js, Typescript, C, C++, Shell - (Bonus points) At least 1 or more less common programming languages such as: Rust, Shell, Go, Ruby, Swift, PHP, Kotlin - Knowledge of web technologies & frameworks - Web Scraping, API integration, - HTML/CSS/JavaScript - Web application development (e.g. Flask) - Frontend (e.g. React) and backend (e.g. Node.js) development - Machine Learning & Artificial Intelligence - Machine Learning (General concepts, model development, experimentation, training, evaluation) - Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) - Natural Language Processing (NLP) - Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) - Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) - Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) - Data Science & Engineering - Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) - Database Management (SQL, NoSQL, SQLite, data storage - Algorithms & Mathematics - Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) - Software Engineering Practices & Tools - Version Control (Git/GitHub) - Coding Best Practices: A solid understanding of clean code principles, software design patterns, and debugging techniques. - Attention to Detail: Meticulous attention to detail and the ability to follow complex, multi-step instructions precisely. - Problem-Solving: Strong analytical and problem-solving skills to evaluate and troubleshoot complex coding solutions. - Communication: Excellent written communication skills to provide clear, concise, and actionable feedback - Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: - Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. - Familiarity with various programming paradigms (e.g., object-oriented, functional). - Experience with code review in a professional or academic setting. - Experience in data annotation or similar quality assurance roles