AI Architect

3 days ago

Mumbai, Maharashtra, India datAvail Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title: AI Architect

Location: Hyd/Mum/Bang

Exp Level: 15+

Education: Any Dgree

Job Summary:

  • Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients
  • Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering.
  • Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies.
  • Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security.
  • Develop and enforce best practices for model governance, MLOps, and responsible AI.
  • Evaluate and integrate third-party AI services and APIs when needed.
  • Drive innovation by staying current with AI trends and emerging technologies (e.g., LLMs, edge AI).
  • Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
  • 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles.
  • Strong proficiency in machine learning, deep learning, data engineering, and distributed systems.
  • Experience with Google cloud-based AI platforms such as Google Vertex AI.
  • Proficiency in Python and experience with ML libraries.
  • Solid understanding of AI data governance, model explainability, and ethical AI principles.
  • Excellent communication skills to work with both technical and non-technical stakeholders.
  • Demonstrated experience delivering scalable AI projects that drive business value.
  • Preferred Skills:
  • Experience deploying generative AI models and LLMs leveraging RAG models (e.g., GPT, Google, Claude, open-source models).
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML.
  • Knowledge of NLP, computer vision, or reinforcement learning.
  • Hands-on development and support of AI solutions.
  • Solid client communication skills.

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