AI/ML Engineer

About Client:

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title: AI/ML Engineer

Location: Pan India

Experience: 6+ yrs

Job Type : Contract to hire

Notice Period:- Immediate joiner

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