Azure AI Tech Lead

3 days ago

Remote, India Jinendra infotech pvt ltd. Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Urgent opening for Azure AI Tech Lead

Position: Azure AI Tech Lead

Exp-3.5-7Years

Location: Remote / Noida (NCR)

Notice Period: Immediate to 15 days

Mandatory Skills:Python, Azure AI/ML, PyTorch, TensorFlow, JAX, HuggingFace, LangChain, Kubeflow, MLflow, LLMs, RAG, MLOps, Docker, Kubernetes, Generative AI, Model Deployment, Prometheus, Grafana

(Tech Stack)

TechnologyCategoryEXPRatingPythonProgramming Language Azure AI/MLCloud ML Platform PyTorchDeep Learning Framework TensorFlowDeep Learning Framework JAXML/Math Framework HuggingFaceML/LLM Ecosystem LangChainLLM Orchestration KubeflowMLOps Platform MLflowMLOps Tool LLMsAI Models RAGLLM Technique MLOpsPractice/Discipline DockerContainerization Tool KubernetesContainer Orchestration Generative AIAI Paradigm Model DeploymentML Lifecycle Stage PrometheusMonitoring Tool GrafanaVisualization Tool

JOB DESCRIPTION

As the Azure AI Tech Lead, you will serve as the principal technical expert leading the design, development, and deployment of advanced AI and ML solutions on the Microsoft Azure platform. You will guide a team of engineers, establish robust architectures, and drive end-to-end implementation of AI projects—transforming proof-of-concepts into scalable, production-ready systems.

Key Responsibilities:

  • Lead architectural design and development of AI/ML solutions using Azure AI, Azure OpenAI, and Cognitive Services.
  • Develop and deploy scalable AI systems with best practices in MLOps across the full model lifecycle.
  • Mentor and upskill AI/ML engineers through technical reviews, training, and guidance.
  • Implement advanced generative AI techniques including LLM fine-tuning, RAG systems, and diffusion models.
  • Collaborate cross-functionally to translate business goals into innovative AI solutions.
  • Enforce governance, responsible AI practices, and performance optimization standards.
  • Stay ahead of trends in LLMs, agentic AI, and applied research to shape next-gen solutions.

Qualifications:

  • Bachelor's or Master's in Computer Science or related field.
  • 3.5–7 years of experience delivering end-to-end AI/ML solutions.
  • Strong expertise in Azure AI ecosystem and production-grade model deployment.
  • Deep technical understanding of ML, DL, Generative AI, and MLOps pipelines.
  • Excellent analytical and problem-solving abilities; applied research or open-source contributions preferred.

Job Types: Full-time, Permanent

Pay: ₹900, ₹1,200,000.00 per year

Work Location: Remote

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