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AI / ML Architect - Chennai

AI / ML Architect - Chennai

Dexian Indiachennai, tamil nadu, in
26 days ago
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
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