AI/ML Engineer / Software EngineerSynstack Technologies • vapi, gujarat, in
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AI / ML Engineer / Software Engineer
Synstack Technologies • vapi, gujarat, in
16 hours 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)
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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Software Engineer • vapi, gujarat, in
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