Job Title:
AI/ML Architect - Chennai
Company: Dexian India
Location: Chennai, Tamil Nadu
Created: 2025-09-04
Job Type: Full Time
Job Description:
We are looking for an AI/ML Architect with deep expertise across machine learning domains, including computer vision, NLP, recommendation systems, and predictive modeling. This role requires a strategic thinker who can design end-to-end AI architectures, guide implementation, and ensure AI solutions align with business objectives. The ideal candidate is both a hands-on technologist and a system-level thinker, capable of bridging product, engineering, and research. Location - Ramanujan IT City, Chennai Work Mode - Onsite Shift Timings - 11 AM - 8 PM Key Responsibilities: - Define and own the overall AI/ML architecture for projects, ensuring scalability, security, and performance. - Design, prototype, and oversee development of AI/ML models across multiple domains (vision, NLP, forecasting, generative AI). - Collaborate with engineering teams to integrate AI pipelines into production systems. - Provide technical leadership, mentor junior engineers, and guide the adoption of best practices in AI/ML and MLOps. - Evaluate emerging AI technologies and recommend their adoption where applicable. - Drive documentation, design reviews, and ensure long-term maintainability of AI solutions. Required Skills & Experience: - Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, OpenCV). - Proven experience in architecting AI solutions that include computer vision and at least one other domain (NLP, recommendation, time series). - Deep knowledge of MLOps practices (CI/CD pipelines for ML, model serving, monitoring, containerization with Docker/Kubernetes). - Hands-on experience with cloud-based AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML). - Excellent communication skills — ability to articulate AI system designs to technical and business stakeholders. Preferred Qualifications: - 5years of experience in AI/ML, with at least 2+ years in an architectural or leadership capacity. - Experience in LLMs and generative AI frameworks. - Track record of delivering AI solutions at scale in production