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Open nowPosted 141 days ago

AI Tech Lead

Orion Innovation Naukri3 open roles

Where
Hyderabad, Telangana, India
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Your applicationOpen nowAI Tech LeadOrion Innovation Naukri · Hyderabad, Telangana, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Orion Innovation Naukri's own form.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Orion Innovation Naukri postings stay open a median of 15 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 141 days ago

Orion Innovation Naukri median: 15 days open

The posting

AI Tech Lead – Manager

Experience- 8-12 years

Job Overview:

We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies.

Key Responsibilities / (Person Specifications):

  • Lead implementation and delivery of AI applications across teams.
  • Design end-to-end AI architectures integrating open-source and enterprise tools.
  • Translate business requirements into scalable AI solutions.
  • Define architecture roadmaps and best practices.
  • Build data pipelines, CI/CD, and monitoring systems.
  • Deploy scalable systems using Docker and Kubernetes.
  • Ensure performance, scalability, and security.
  • Mentor teams and drive knowledge sharing.

Key Skills / Job Specifications (Mandatory):

  • AI frameworks: LangGraph, AutoGen, CrewAI.
  • Strong Python with TensorFlow, PyTorch, Keras.
  • Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers).
  • Cloud platforms: AWS / Azure / GCP.
  • Docker, Kubernetes, CI/CD tools.
  • Terraform / CloudFormation (IaC).
  • SQL & NoSQL databases.
  • Distributed systems, REST APIs, GraphQL, microservices.
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