We’re hiring for a market-leading edge computing startup that’s building AI infrastructure for remote and low-connectivity environments. Their mission is to power real-time, on-premise intelligence across industries like mining, agriculture, energy, and defense.
They’re looking for experienced AI engineers who enjoy tackling real-world ML challenges at the edge.
Location : Full-time Onsite – Thiruvananthapuram, Kerala
You’ll be a good fit if :
- You enjoy solving practical AI problems in real-time, low-latency settings
- You can deploy ML models end-to-end – from training to production
- You’ve worked with transformers, computer vision, or autonomous systems
- You thrive in fast-paced, high-impact environments
Key Responsibilities :
Build, train, and deploy ML models (transformers, CV)Containerize and deploy models to production (cloud or edge)Collaborate with internal teams and customersBuild datasets, pipelines, and benchmarking workflowsImplement transfer learning or online learning methodsRequired Skills :
Strong Python; experience with PyTorch or TensorFlow5+ years in ML or software engineeringFamiliar with CNNs, transformers, BERT, GANs, etc.Understanding of supervised, unsupervised, and transfer learningExperience deploying models using containers or microservicesPreferred :
Experience with real-time ML for robotics, drones, or control systemsKnowledge of on-device inference or model optimizationExposure to Kubernetes or edge deployment setupsClear communicator and team playerLocation : Thiruvananthapuram, Kerala (Onsite, Full-time)