Job
Description
Data Science Architect (Full Stack) Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 4+ Years Experience | AI, Architecture & Product Engineering Hubnex Labs is seeking a visionary and hands-on Full Stack Data Science Architect to lead the development of scalable AI products and reusable intellectual property (IP) that power data-driven solutions across global enterprise clients. This role requires deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. Key Responsibilities AI & Data Science Leadership Lead design and development of end-to-end AI/ML solutions across enterprise applications Architect data pipelines, model training, validation, and deployment workflows Apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, Reinforcement Learning , etc. Evaluate and rank algorithms based on business impact, accuracy, and scalability Design and optimize data augmentation, preprocessing, and feature engineering pipelines Train, validate, and fine-tune models using state-of-the-art tools and strategies Monitor and improve model performance post-deployment Full Stack & Cloud Architecture Design and implement cloud-native systems using microservices , serverless , and event-driven architectures Build robust APIs and UIs for intelligent applications (using Python, Node.js, React, etc.) Use Docker , Kubernetes , and CI/CD pipelines for scalable deployment Leverage technologies like Kafka, TensorFlow, Elixir, Golang , and NoSQL/Graph DBs for high-performance ML products Define infrastructure to meet latency and throughput goals for ML systems in production Innovation & Productization Build reusable IP that can be adapted across industries and clients Rapidly prototype AI features and user-facing applications for demos and validation Collaborate closely with product managers and business stakeholders to translate use cases into scalable tech Explore and adopt new technologies and frameworks to maintain a forward-looking tech stack Required Skills & Experience 4+ years of experience building and deploying AI/ML models and scalable software systems Strong understanding of ML frameworks (TensorFlow, Keras, PyTorch), data libraries (pandas, NumPy), and model tuning Proven track record of working with large-scale data , data cleaning, and visualization Expertise in Python , and experience with at least one other language (Go, Java, Scala, etc.) Experience with front-end frameworks (React, Vue, or Angular) is a plus Proficient in DevOps practices , CI/CD, and cloud platforms (AWS/GCP/Azure) Familiarity with event-driven systems , real-time protocols (WebSockets, MQTT), and container orchestration Hands-on experience with NoSQL databases , data lakes , or distributed data platforms Preferred Traits Experience leading agile engineering teams and mentoring junior developers Strong architectural thinking, with an eye on scalability, maintainability, and performance Entrepreneurial mindset with a focus on building reusable components and IP Excellent communication skills, capable of bridging business and technical conversations Why Join Hubnex Labs? Own and architect impactful AI products used across industries Shape the data science foundation of a fast-scaling software consulting powerhouse Enjoy a creative, high-performance environment in Gurugram , with flexibility and long-term growth opportunities Contribute to next-gen solutions in AI, cloud, and digital transformation
