Machine Learning Engineer, Computer Vision

**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** .