AI Platform Engineer Jobs in Chennai AI and ML Company

⚡ Hiring Now
🏫 Artificial Intelligence and Machine Learning  •  📍 Chennai, Tamil Nadu
💵 ₹57,500 - ₹1,32,500 / Month
2 - 7 Years
🎓 B.E. CS with Kubernetes, GPU cluster management, and AI inference serving
📅 Full Time
📍 Chennai, Tamil Nadu
📅 Posted: 2026-07-08 🕑 Valid Till: 2026-08-08T00:00 🔑 Job ID: JZ-AIM-AIPLATFO-726

🏫 Chennai AI and ML Company Employment Zones

Chennai's private AI and ML companies build machine learning models, NLP systems, and intelligent automation for enterprise clients from offices in Guindy and Ambattur MIDC, employing Tamil-speaking ML engineers, data scientists, and AI product managers.

AI and ML Company employment zones in Chennai include Guindy, Ambattur MIDC, Sholinganallur, Anna Nagar, Nungambakkam, T. Nagar, Adyar, Velachery, Taramani, and Perungudi.

Guindy Ambattur MIDC Sholinganallur Anna Nagar Nungambakkam T. Nagar Adyar Velachery Taramani Perungudi

📋 Job Description

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

📌 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 Chennai.

✅ Required Skills

Kubernetes GPU Cluster Management Triton Inference Server Helm Terraform Python Monitoring Autoscaling

🏆 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

Frequently Asked Questions

What types of AI and ML company jobs are available in Chennai?

Chennai's AI and ML sector offers a wide range of roles including machine learning engineer, NLP engineer, computer vision engineer, MLOps engineer, AI research scientist, LLM engineer, AI product manager, and AI solutions architect positions. Private AI product companies, generative AI service firms, and enterprise AI labs in the city hire across all experience levels from fresh graduates to senior leadership, making Chennai one of South India's fastest-growing AI employment hubs.

Which areas in Chennai have the most AI and ML company job openings?

The OMR corridor, Sholinganallur, Perungudi, Taramani, and Tidel Park are the primary hubs for AI and ML company hiring in Chennai. Guindy, Velachery, Ambattur, Nungambakkam, and Anna Nagar also have significant concentrations of AI product startups and enterprise AI divisions. Most AI companies in these zones offer flexible or hybrid work policies, and the proximity to engineering colleges supports active fresher hiring throughout the year.

What skills are most in demand for AI and ML company jobs in Chennai?

Python programming, PyTorch, TensorFlow, scikit-learn, and SQL form the core technical baseline for most AI and ML roles in Chennai. Large language model experience including prompt engineering, RAG pipelines, and LLM fine-tuning is increasingly demanded. MLOps skills such as MLflow, Kubeflow, Docker, and Kubernetes are critical for deployment roles. For research and senior roles, published work, deep mathematics, and experience with transformer architectures and GPU-based training significantly strengthen a candidate's profile.

What is an AI platform engineer and how does the role differ from a regular DevOps engineer?

AI platform engineers in Chennai specialise in building and operating the compute infrastructure that AI and ML workloads run on, including GPU clusters, distributed training environments, and high-throughput model serving systems. Unlike general DevOps engineers, AI platform engineers must understand ML workload patterns, GPU resource management, model batching strategies, and inference optimisation. They work closely with ML engineers to ensure the platform meets the performance and reliability requirements of AI systems at scale.

What GPU and inference serving tools should AI platform engineers know in Chennai?

NVIDIA GPU tooling including CUDA, cuDNN, NVIDIA MIG for multi-instance GPU partitioning, and NVIDIA Triton Inference Server are core knowledge areas for AI platform engineers in Chennai. vLLM for high-throughput LLM serving, TorchServe for PyTorch models, and ONNX Runtime for cross-framework inference are also widely used. Knowledge of Kubernetes GPU scheduling with device plugins and operators such as NVIDIA GPU Operator is expected, along with familiarity with cloud GPU instance types from AWS, Azure, and GCP.

Is AI platform engineering a growing field in Chennai?

AI platform engineering is one of the fastest-growing infrastructure specialisations in Chennai's tech sector as AI companies scale from research prototypes to production systems serving thousands of daily users. The combination of GPU computing expertise, Kubernetes platform skills, and ML workload understanding is rare and highly valued. Chennai's growing base of AI product companies, enterprise AI teams, and AI-as-a-service providers has created strong sustained demand for AI platform engineers with limited supply of experienced candidates.

What is the salary for AI Platform Engineer in Chennai AI and ML Company in

A AI Platform Engineer in Chennai earns between Rs.57,500 and Rs.1,32,500 per month in July 2026, depending on experience, skills, and employer.

What experience is required for AI Platform Engineer jobs in

2 - 7 Years of relevant experience is typically required for AI Platform Engineer positions in Chennai's private AI and ML Company sector.

வேலை விவரம் - தமிழில்

Chennai-ல் AI Platform Engineer வேலைவாய்ப்பு. மாத சம்பளம் ரூ.57,500 முதல் ரூ.1,32,500 வரை. 2 - 7 Years અனுபவம் தேவை. AI and ML Company-ல் Full Time பணி. ஆர்வமுள்ளவர்கள் Jobzi மூலம் விண்ணப்பிக்கலாம்.