Job Description
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.
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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