Senior AI/ML Engineer - Computer Vision
First seen by Alion on Sep 17, 2026.
The Role :
Were hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems.
This is a 100% hands-on individual contributor role where you will build the AI engines behind the platform automated image processing, generative content creation, intelligent workflows, and large-scale ML pipelines.
You will work across computer vision, generative models, automation, and ML infrastructure to deliver production-ready AI systems.
What Youll Build :
Computer Vision & Image Understanding :
- Product image analysis, object detection, and segmentation.
- Automated background removal, image enhancement, and preprocessing.
- Classification, attribute extraction, and visual search systems.
- Quality assessment and edge-case detection models.
- Depth estimation and scene understanding from 2D images.
- Real-time object detection for AR try-on.
- Multi-view image analysis and camera pose estimation.
Generative AI & Content Creation :
- Fine-tune generative models for visual and marketing asset creation.
- Build text-to-image and image-to-image model pipelines.
- Generate AI-based product descriptions, tags, and metadata.
- Work with diffusion models, GANs, and transformer architectures.
- Develop texture generation, style transfer, and image editing tools.
Build synthetic data generation pipelines :
- Experiment with the latest foundation models and diffusion techniques.
Intelligent Automation & ML Systems :
- Build end-to-end automation pipelines for large-scale product catalog processing.
- Develop recommendation and personalization models.
- Implement automated workflows for quality control, moderation, and validation.
- Build predictive models for engagement and conversion.
- Implement anomaly detection and platform monitoring.
- Design continuous learning and self-improving systems.
Production ML Infrastructure :
- Deploy and optimize ML models on AWS.
- Build scalable inference pipelines with low latency and high throughput.
- Implement model versioning, A/B testing, and CI/CD for ML.
- Create data pipelines for annotation, augmentation, and quality control.
- Optimize models for speed, efficiency, and cost.
- Build monitoring systems for model drift, quality, and performance.
- Develop APIs and microservices for ML model serving.
Research & Innovation :
- Explore the latest AI/ML trends and emerging models.
- Prototype rapidly using state-of-the-art models such as GPT-4V, Diffusion, and SAM.
- Integrate open-source tools into the production stack.
- Run feasibility experiments and influence model architecture decisions.
- Document learnings and share insights internally.
Technical Stack :
- AI / ML Frameworks.
- PyTorch, TensorFlow, Hugging Face.
- OpenCV, YOLO, Detectron2.
- Stable Diffusion, ControlNet, Diffusers.
- Scikit-learn, XGBoost.
- Deployment & Infrastructure.
- FastAPI, ONNX, TorchScript, TensorRT.
- AWS services including SageMaker, Lambda, EC2, and S3.
- Docker and Kubernetes.
- PostgreSQL, Redis, MongoDB, Pinecone.
- Languages & APIs.
- Python (primary).
- JavaScript / Node.js (working knowledge).
- REST, GraphQL, WebSocket APIs.
Nice to Have (3D / Graphics) :
- Understanding of rendering pipelines.
- Familiarity with glTF or USDZ formats.
- Experience with Three.js or Unity / Unreal.
What Were Looking For :
Must-Haves :
- 5 - 8+ years of experience in AI/ML with a strong computer vision background.
- Deep expertise in PyTorch or TensorFlow.
- Experience deploying production ML systems.
- Strong understanding of CNNs, transformers, detection, and segmentation models.
- Hands-on experience with diffusion models or GANs.
- Strong Python skills and ML system design experience.
- Cloud experience with AWS, GCP, or Azure.
- Proven track record of shipping ML-powered products.
- Passion for experimenting with emerging AI models.
Highly Desirable :
- Experience in e-commerce, retail imaging, or content pipelines.
- Background in automation and intelligent workflow systems.
- Experience with recommendation or personalization systems.
- Familiarity with multimodal models combining vision and language.
- Experience with neural rendering or 3D generation.
- Open-source contributions or research publications.
- Experience optimizing real-time inference.
- Strong understanding of MLOps practices.
- Ability to build end-to-end ML-driven product features.
Problems Youll Solve :
- Automating large-scale product image processing.
- Generating high-quality product visuals at scale.
- Extracting structured attributes from image datasets.
- Reducing manual processes through intelligent automation.
- Optimizing inference speed and infrastructure cost.
- Personalizing user experiences using ML.
- Monitoring and evaluating ML models reliably in production.
Why Ctruh :
- Work across computer vision, generative AI, automation, and NLP.
- Use cutting-edge models and a modern AI stack.
- High-impact role influencing millions of shoppers.
- Culture focused on experimentation and rapid iteration.
- Strong learning environment with research exposure.
- Small engineering team with high ownership and visibility.
- Supported by Microsoft, NVIDIA, Google, and AWS.
Location : Bengaluru.
Schedule : 6 days a week (5 days in office, Saturdays work-from-home).
Culture : Fast-paced, experimentation-driven, and execution-focused.
Team : Highly skilled engineers focused on impact.
Resources : GPU compute, modern tooling, and research access.
The Ideal Candidate :
- You are an AI builder who enjoys experimenting and shipping real systems.
- You have worked with diffusion models, vision transformers, SAM, GPT-4 Vision, and similar technologies.
- You are comfortable switching between computer vision, generative models, automation systems, and production ML pipelines.
- You care about impact - building models that improve real product experiences.
- You move quickly, choose the right tools for the problem, prototype rapidly, and optimize systems for production reliability.
- You thrive in environments where you can innovate continuously and own AI systems end-to-end.
Skills : Computer Vision, Generative AI, PyTorch, TensorFlow and Huggingface.
Skills
Computer Vision, Artificial Intelligence, Machine Learning, Data Science, Data Scientist, OpenCV, Python, Cloud