Full Stack Engineer with AI/ML

About Company:-

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: Full Stack with AI/ML

Location: Pan India

Experience: 6+ yrs.

Job Type: Contract to Hire.

Notice Period:- Immediate joiners.

• 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