Ai / Ml Engineer

Summary :

As an “ AI / ML Innovation Engineer ” at Ashley Furniture, you will collaborate with cross-functional technical teams to identify and implement AI, machine learning, deep learning, and Generative AI solutions to drive impactful business outcomes. You will contribute to the entire AI / ML project lifecycle, including researching advanced techniques, developing and optimizing models, prototyping innovative features, and supporting production deployments. This role requires hands-on skills in building, testing, and deploying AI / ML solutions using Python and related tools. A strong understanding of AI applications, enthusiasm for emerging AI technologies, and the ability to translate business challenges into measurable AI solutions are essential. You will play a critical role in embedding AI-driven innovation across the organization.

What You'll Work On :

• End-to-end development of AI / ML models
• Real-time object detection with YOLO & DeepSORT
• Advanced image processing using OpenCV & DETR
• GenAI solutions with LLMs, diffusion models & RAG
• Responsible AI practices : safety, bias, privacy
• Scalable pipelines, APIs, and backend integration
• Performance monitoring, CI / CD, and optimization
• Strong foundation in statistics, experimentation, and A / B testing
• Expertise in supervised, unsupervised, and deep learning models
• Advanced Python & SQL for data pipelines and analytics
• Hands-on experience with YOLO, DETR, DeepStream, OpenCV, and Spark
• ML engineering with TensorFlow, PyTorch, Scikit-learn
• GenAI development : LLMs, RAG, vector search, orchestration frameworks
• Scalable deployment using Docker, Kubernetes, and cloud ML platforms
• Experience building agentic workflows and autonomous AI systems

Location : Chennai & Bangalore (5 Days work from office)

Experience : 1-4 Years

Skills : Python, SQL, ML frameworks (TensorFlow, PyTorch), GenAI, OpenCV, YOLO, DeepSORT, DETR, CI / CD

If you're passionate about solving complex problems with AI and want to work in a fast-paced, impact-driven environment — we want to hear from you!

Apply now or tag someone who fits the role. Please share your profile to me at