09 Aug
|
ML Villa
|
Delhi
Company Description ML Villa is a dynamic hub for machine learning innovation, inspired by the collaborative spirit of the global ML community. The company brings together experts, practitioners, and learners to advance applied AI through research, product development, and knowledge sharing.
Team members engage with cutting-edge trends in machine learning, contribute to impactful solutions, and explore real-world case studies. ML Villa supports continuous learning through curated content, mentorship, and exposure to diverse ML applications, while offering clear growth paths for AI professionals.
Role Description The AI Engineer at ML Villa is a full time, on-site role based in Delhi. This role focuses on designing, building, and deploying machine learning models and AI-driven solutions that address complex business and product challenges.
Day-to-day responsibilities include experimenting with algorithms, training and evaluating models, performing data preprocessing and feature engineering, and integrating models into production-grade software systems in collaboration with software developers. The AI Engineer will also work on pattern recognition and neural network architectures, contribute to NLP-based features, optimize model performance, and document technical designs and experiments.
Cross-functional collaboration with product, data, and engineering teams is expected to refine requirements, ensure reliability, and maintain scalable AI systems.
Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and coding best practices.
- Hands-on experience with Neural Networks and Pattern Recognition techniques for real-world problem solving.
- Applied knowledge of Natural Language Processing (NLP), including LLMs, vector databases, RAGs, model training, evaluation, and deployment in products.
- Proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with data pipelines, model lifecycle management, and version control tools.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field, or equivalent practical experience.
- Ability to collaborate in an on-site team environment in Delhi, communicate complex concepts clearly, and adapt to evolving project requirements.
- Exposure to cloud platforms (e.g., AWS, GCP, Azure), MLOps practices, and prior work on production-grade AI systems is a plus.
📌 AI Engineer (Delhi)
🏢 ML Villa
📍 Delhi