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Machine Learning Engineer, Computer Vision

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Onsite

Machine Learning Engineer, Computer Vision

XenonStack Moments

Machine Learning Engineer, Computer Vision

Skills

Google Cloud PlatformDeep LearningPythonPyTorchTensorFlowRMachine LearningAIAWSComplianceAzure

24 days ago

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Important information


Contract type:

Permanent

Location:

Ajeetgarh, Rajasthan 332701, India

Work mode:

Onsite

Published on:

26 September 2026

What they need


About Xenonstack XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling people and organizations to gain real-time and intelligent business insights .

We Deliver Innovation Through

  • Akira AI – Building Agentic Systems for AI Agents
  • XenonStack Vision AI – Vision AI Platform
  • NexaStack AI – Inference AI Infrastructure for Agentic Systems

Our mission is to accelerate the world’s transition to AI + Human Intelligence by creating intelligent agents that seamlessly combine reasoning, perception, and action.

THE OPPORTUNITY We are looking for an Agentic AI Engineer – Vision AI with 2–5 years of experience in computer vision, deep learning, and AI systems engineering. You will design and deploy Vision AI-powered agents capable of perception, understanding, and decision-making for enterprise use cases such as public safety, surveillance, manufacturing, and healthcare .

This role bridges AI model development with agentic orchestration , ensuring Vision AI is not just a model but an autonomous, reliable agent delivering measurable impact.

Job Roles And Responsibilities Agentic Vision AI Development

  • Design and implement Vision AI agents that combine perception models with reasoning and action.
  • Integrate LLMs and multimodal models with computer vision systems for richer decision-making.
  • Build dynamic workflows for Vision AI agents to adapt to evolving environments.

Model Training & Optimization

  • Train and fine-tune deep learning models for object detection, tracking, activity recognition, anomaly detection.
  • Optimize models for real-time inference on cloud and edge devices.
  • Implement model compression, quantization, and deployment pipelines.

Deployment & Orchestration

  • Deploy Vision AI agents on edge devices, cameras, and cloud-native platforms.
  • Collaborate with Platform and AgentOps engineers to ensure reliability, scalability, and observability.
  • Integrate Vision AI systems with enterprise data streams and workflows.

Responsible AI & Quality

  • Ensure Vision AI agents adhere to safety, fairness, and compliance standards.
  • Build evaluation pipelines for accuracy, bias, and real-world robustness.
  • Document best practices and create reproducible workflows for enterprise customers.

Skills Requirements Technical Skills:

  • 2–5 years of experience in computer vision, ML engineering, or applied AI.
  • Strong knowledge of deep learning frameworks (PyTorch, TensorFlow, OpenCV).
  • Experience with object detection/recognition models (YOLO, Faster R-CNN, DETR, SAM).
  • Familiarity with multimodal AI (vision + LLMs).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and edge AI deployments.
  • Knowledge of inference optimization (ONNX, TensorRT, OpenVINO).
  • Proficiency in Python, with solid engineering practices (Git, CI/CD).

Professional Attributes

  • Strong problem-solving skills and ability to translate business needs into AI solutions.
  • Collaboration mindset — able to work across AI, platform, and product teams.
  • Curiosity for emerging agentic AI frameworks (LangGraph, CrewAI, MCP).
  • Passion for building real-world AI systems that matter.

Career Growth And Benefits

  • Continuous Learning & Growth
  • Certifications and advanced training in Vision AI, MLOps, and Agentic AI.
  • Opportunity to work on enterprise-grade Vision AI deployments.
  • Recognition & Rewards
  • Performance-based incentives and recognition for impactful agentic solutions.
  • Career progression toward AI Architect or Vision AI Product Lead roles.
  • Work Benefits & Well-Being
  • Comprehensive health insurance and wellness support.
  • Additional allowances for project-based roles and cab facility for women employees.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT! At XenonStack, we believe in shaping the future of intelligent systems . You’re not just joining a company — you’re helping shape it, from idea to production .

We foster a culture of cultivation , built on bold, human-centric leadership principles. We value deep work, simplicity, and adoption in every solution we deliver, while holding ourselves to the highest standards of care and craftsmanship.

Our Cultural Values

  • Agency – Be self-directed. Take initiative, solve problems creatively, and drive impact.
  • Taste – Sweat the details. Build with precision, care, and a high bar for excellence.
  • Ownership – Commit fully to our mission and goals, taking responsibility for both successes and failures.
  • Mastery – Relentlessly pursue learning and growth, both as individuals and as teams.
  • Impatience – Move fast and embrace progress as the default.
  • Customer Obsession – Put customers at the heart of everything, striving to deeply understand and exceed their expectations.

Our Product Philosophy

  • Obsessed with Adoption – Making AI agents enterprise-ready and accessible.
  • Obsessed with Simplicity – Turning complex challenges into intuitive, reliable solutions.

Be part of our mission to reimagine perception, intelligence, and decision-making with Agentic AI — and help accelerate the world’s transition to AI + Human Intelligence .

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