AI Platform Engineer Jobs in Coimbatore AI and ML Company

📋 Job Description

Jobzi is sourcing qualified candidates for AI Platform Engineer positions in Coimbatore's private AI and ML Company sector. This is a full-time opportunity with a reputed Artificial Intelligence and Machine Learning employer in Coimbatore offering competitive salary, structured growth, and a professional work environment. Tamil communication skills are preferred alongside English for professional and business interaction in Coimbatore.

📌 Key Responsibilities

• Build and operate the AI compute platform including GPU cluster provisioning, scheduling, and scaling
• Deploy and manage model serving infrastructure using Triton, TorchServe, or vLLM for production inference
• Implement auto-scaling policies to balance GPU utilisation and inference latency under variable load
• Maintain infrastructure-as-code using Terraform and Helm for reproducible platform deployments
• Monitor platform health, GPU utilisation, inference throughput, and latency SLAs using observability tools
• Collaborate with ML engineers to optimise model packaging, batching, and deployment configurations
• Evaluate new AI infrastructure technologies and contribute to platform roadmap planning

🎓 Qualifications and Requirements

• B.E. in Computer Science with 2 to 7 years of platform or infrastructure engineering experience
• Hands-on experience managing Kubernetes clusters including GPU node pools and resource scheduling
• Proficiency with AI model serving tools such as Triton Inference Server, TorchServe, or vLLM
• Experience with infrastructure-as-code using Terraform, Pulumi, or Helm
• Understanding of GPU architecture concepts and NVIDIA tooling including CUDA, cuDNN, and MIG
• Familiarity with observability tools such as Prometheus, Grafana, and Jaeger for platform monitoring
• Strong scripting skills in Python and Bash for platform automation and tooling
• Good Tamil and English communication skills for team coordination and client interaction in Coimbatore.

✅ Required Skills

🏆 Certifications and Qualifications

M.Sc./Ph.D. in Computer Science, Mathematics, or Statistics for research roles; B.E. CS with deep learning frameworks (TensorFlow, PyTorch) for ML engineer roles; AWS Machine Learning Specialty or cloud provider Professional Machine Learning Engineer certifications for cloud ML roles; Coursera Deep Learning Specialization (Andrew Ng) widely recognised; Hugging Face certifications for LLM roles; Databricks ML Professional for MLOps roles; NVIDIA Deep Learning Institute certifications for GPU computing and inference optimisation roles