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 Description :

Job Title : Full Stack with AI / ML

Location : Pan India

Experience : 6+ yrs.

Job Type : Contract to Hire.

Notice Period : - Immediate joiners.

Job Description : -

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