Gen AI Coder with Python

Gen AI Coder with Python

Location : Remote

Duration : 6+ Months

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

"Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law."