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 customers
Build datasets, pipelines, and benchmarking workflows
Implement transfer learning or online learning methods
Required Skills:
Strong Python; experience with PyTorch or TensorFlow
5+ years in ML or software engineering
Familiar with CNNs, transformers, BERT, GANs, etc.
Understanding of supervised, unsupervised, and transfer learning
Experience deploying models using containers or microservices
Preferred:
Experience with real-time ML for robotics, drones, or control systems
Knowledge of on-device inference or model optimization
Exposure to Kubernetes or edge deployment setups
Clear communicator and team player
Location: Thiruvananthapuram, Kerala (Onsite, Full-time)
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