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AI / ML Engineer / Software Engineer

AI / ML Engineer / Software Engineer

Synstack Technologiesranchi, India
1 day ago
Job description

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.
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