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AI/ML Architect

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role: AI/ML Lead / AI Architect
Experience: 10-15 Years
Location: PAN India

Job Summary-

We are looking for an experienced AI/ML Lead or AI Architect to lead the design, development, and deployment of enterprise AI and Machine Learning solutions. The ideal candidate should possess expertise in AI/ML architectures, Generative AI, cloud platforms, MLOps, and data engineering while providing technical leadership to delivery teams and stakeholders.

Roles & Responsibilities-

  • Define AI/ML strategy, architecture, and roadmap for enterprise solutions.
  • Design and implement Machine Learning, Deep Learning, and Generative AI solutions.
  • Lead end-to-end AI solution development from data ingestion to production deployment.
  • Architect scalable AI platforms using Azure, AWS, or GCP.
  • Implement MLOps frameworks for model training, deployment, monitoring, and governance.
  • Collaborate with business teams to identify AI use cases and translate them into technical solutions.
  • Ensure AI security, compliance, responsible AI practices, and model governance.
  • Mentor AI engineers, data scientists, and development teams.

Mandatory Skills

  • Python
  • Machine Learning & Deep Learning
  • Generative AI & LLMs (GPT, Claude, Llama)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, FAISS, Azure AI Search)
  • LangChain / LlamaIndex
  • MLOps (MLflow, Kubeflow, Azure DevOps)
  • SQL & NoSQL Databases
  • Cloud Platform (Azure/AWS/GCP)
  • Docker & Kubernetes
  • Data Engineering Concepts

Preferred Skills

  • Azure OpenAI / AWS Bedrock / Vertex AI
  • Databricks
  • PySpark
  • TensorFlow / PyTorch
  • Microsoft Fabric
  • Agentic AI Frameworks
  • Knowledge Graphs
  • Semantic Kernel

Skills

  • azure-arc
  • microsoft-azure
  • amazon-web-services
  • google-cloud-platform
  • Python
  • claude-by-anthropic
  • meta-llama
  • llama
  • FAISS
  • azure-search
  • LangChain
  • LlamaIndex
  • ml-flow
  • mlflow
  • kubeflow
  • azure-devops
  • Docker
  • Kubernetes
  • openai
  • bedrock
  • vertex
  • azure-databricks
  • databricks
  • pyspark
  • Tensorflow
  • PyTorch
  • microsoft-fabric

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