Machine Learning Engineer, Computer Vision
XenonStack · Mohali, India ·
- Category
- ML ai
- Experience
- 2+ years
XenonStack · Mohali, India ·
XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.
We build enterprise-grade platforms across the agentic stack:
Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.
We are looking for an Machine Learning Engineer, Computer Vision 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.
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.
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.
1) Continuous Learning & Growth
Certifications and advanced training in Vision AI, MLOps, and Agentic AI.
Opportunity to work on enterprise-grade Vision AI deployments.
2) Recognition & Rewards
Performance-based incentives and recognition for impactful agentic solutions.
Career progression toward AI Architect or Vision AI Product Lead roles.
3) Work Benefits & Well-Being
Comprehensive health insurance and wellness support.
Additional allowances for project-based roles and cab facility for women employees.
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.
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.
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.