Job
Description
Machine Learning Engineer (Full Stack) Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 5+ Years Experience | AI & Product Engineering Hubnex Labs is seeking a highly skilled Machine Learning Engineer with strong capabilities in Full Stack Development to lead the development and deployment of production-grade AI systems. This role requires expertise in building end-to-end ML pipelines from data preprocessing to deployment while also contributing to the full stack of software platforms that power our solutions. Key Responsibilities Machine Learning & Data Science Understand business goals and translate them into ML-based solutions Develop, analyze, and compare machine learning algorithms for various problem statements Build robust validation strategies and design appropriate preprocessing and feature engineering pipelines Perform data exploration, visualization , and quality verification , including data cleaning and augmentation Train models, tune hyperparameters , and interpret model performance Analyze errors and design strategies to improve model robustness Discover and utilize public datasets for model training and benchmarking Deploy models into production environments with real-world performance and latency considerations Software & System Development Design and develop end-to-end production systems , including backend APIs and frontend interfaces Maintain full stack web applications , ensuring seamless ML model integration Ensure efficient use of hardware resources for training and inference Collaborate cross-functionally with engineering, product, and design teams Technical Skills Required 5+ years of hands-on experience in machine learning and full stack development Proficiency in Python and ML libraries like scikit-learn , pandas , NumPy , etc. Deep learning experience using TensorFlow , Keras , or equivalent frameworks Proficiency with OpenCV and image/video processing techniques Experience with data visualization tools and big data handling Strong understanding of data pipelines , feature engineering , and augmentation techniques Proficiency in Full Stack Web Development (e.g., React, Node.js, Express, MongoDB or similar) Experience deploying models using REST APIs, Flask/FastAPI, Docker, etc. Familiarity with Linux environments and GPU-accelerated compute systems Understanding of hardware requirements and optimization for real-time ML performance Why Join Hubnex Labs? Work on impactful AI products deployed in real-world use cases Be a part of a fast-growing tech consulting and product innovation company Collaborate with a diverse team of engineers, data scientists, and innovators Flexible and collaborative culture based in Gurugram , with hybrid work options Ideal Candidate Passionate about building smart systems that go live in production Can operate independently and take full ownership of ML products Blends deep technical skill with product thinking and business awareness
