Solution Architect

22 hours ago

Chennai, Tamil Nadu, India Preludesys Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Do you want to shape the future of AI-driven transformation? Join PreludeSys as a Solution Architect AI/ML, where youll define strategy, design architectures, and lead the implementation of cutting-edge AI solutions powered by advanced machine learning and large language models (LLMs).

What Youll Do

As a Solution Architect at PreludeSys, you will:

  • Define AI Strategy: Establish and evolve the companys AI vision, roadmap, and execution plan.
  • Align with Business Goals: Ensure AI initiatives deliver measurable outcomes aligned with organizational objectives.
  • Architect & Deploy AI Models: Lead the design, development, and deployment of models across the full AI lifecyclefrom problem scoping to production integration.
  • Leverage Advanced AI: Experiment with and implement state-of-the-art models including transformers, GPT, BERT, and generative AI.
  • Collaborate with Stakeholders: Partner with internal teams and external clients to gather requirements, provide architectural guidance, and integrate AI seamlessly into systems.
  • Mentor & Inspire: Guide junior team members, foster innovation, and promote a culture of continuous learning.
  • Champion Responsible AI: Advocate for ethical, explainable, and scalable AI practices.

Your Skillset

Were looking for an AI leader who blends technical depth with strategic vision. Must-haves include:

  • Experience: 7+ years in AI/ML solution architecture, data science, or enterprise AI product development.
  • Programming & Frameworks: Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face.
  • Model Expertise: Strong understanding of algorithms, evaluation, deployment workflows, and transformer-based NLP models (GPT, BERT, etc.).
  • MLOps Knowledge: Familiarity with ML lifecycle tools (MLflow, Kubeflow), containerization (Docker), and API frameworks (FastAPI, Flask).
  • Cloud Platforms: Proven experience deploying AI solutions on Azure, AWS, or GCP using native AI/ML services.
  • Education: Masters degree in Data Science, AI, ML, or related field (PhD preferred).
  • Certifications: Azure AI Engineer Associate or equivalent preferred.
  • Nice to Have: Research publications, patents, or open-source AI/ML contributions.

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