Senior Technical Lead – AI/ML & MLOps

6 - 10 years

3 - 6 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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Job Type

Part Time

Job Description

iQuasar Software Solutions is a purpose-driven company with a strong emphasis on “People.” We operate to empower people in the community we operate in. Listen in to our HR Manager explaining the hiring process that helps us to make a change in society by bringing the best talent and helping them grow professionally.
Senior Technical Lead – AI/ML & MLOps
Job Title: Senior Technical Lead – AI/ML & MLOps
Location: Srinagar
Experience: 6–10 years overall (3–5 years in AI/ML & MLOps)
Education: Master’s or above in AI/ML/Data Science or equivalent
About the Role
We are seeking a Senior Technical Lead – AI/ML & MLOps to drive the design and implementation of advanced AI systems. The ideal candidate combines deep technical expertise with product vision and a high sense of ownership.
You will lead efforts to assemble efficient AI toolchains, implement agentic AI frameworks, and integrate low-code/no-code solutions to accelerate time-to-market for AI-powered products.
Key Responsibilities
  • Architect and lead AI/ML systems from concept to deployment.
  • Build and optimize MLOps pipelines across AWS, Azure, and GCP.
  • Implement and integrate agentic AI platforms (e.g., Copilot Studio, Microsoft AI Foundry, etc.) and low-code/no-code ecosystems.
  • Assemble scalable AI toolchains to enhance productivity and automation.
  • Collaborate cross-functionally with product, data, and engineering teams to deliver high-impact AI solutions.
  • Engage with customers to understand their requirements and develop custom AI solutions within time and budget while meeting quality objectives
  • Lead by example — mentor team members, ensure quality delivery, and drive continuous innovation.
  • Take initiative to identify and integrate emerging AI technologies to improve outcomes.
Requirements
  • Proven experience in software development, with a strong focus on AI/ML and MLOps.
  • Track record of successfully leading AI-driven products or large-scale ML projects.
  • Proficiency in Python, TensorFlow/PyTorch, and modern DevOps/MLOps practices.
  • Experience deploying models and services across AWS, GCP, and Azure.
  • Familiarity with agentic AI, AI orchestration frameworks, and toolchain design.
  • Strong communication skills, leadership qualities, and exceptional initiative.
  • Ability to operate in a fast-paced, product-focused environment with end-to-end accountability.

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