MLOps Engineer Jobs in Chennai AI and ML Company
⚡ Hiring Now🏫 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.
📋 Job Description
Jobzi is sourcing qualified candidates for MLOps 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
- Design and maintain ML pipelines for training, evaluation, and deployment using Kubeflow or Airflow
- Implement CI/CD workflows for ML model code, data, and experiment versioning
- Set up and manage model serving infrastructure using Triton, TorchServe, or FastAPI-based endpoints
- Monitor deployed models for data drift, prediction distribution shift, and performance degradation
- Manage experiment tracking, model registry, and lineage using MLflow or equivalent platforms
- Collaborate with ML engineers and data engineers to improve pipeline reliability and scalability
- Automate retraining triggers based on performance thresholds and data freshness criteria
🎓 Qualifications and Requirements
- B.E. in Computer Science with 2 to 6 years of MLOps or ML platform engineering experience
- Hands-on experience with MLflow for experiment tracking and model registry management
- Proficiency in Docker and Kubernetes for containerised ML workload deployment
- Experience building CI/CD pipelines for ML using tools such as GitHub Actions, Jenkins, or GitLab CI
- Knowledge of model serving platforms and inference optimisation fundamentals
- Familiarity with data quality monitoring and drift detection tools
- Strong scripting skills in Python and Bash for pipeline automation
- Good Tamil and English communication skills for team coordination and client interaction in Chennai.
✅ 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
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 the role of an MLOps engineer in a Chennai AI company?
MLOps engineers in Chennai AI companies bridge machine learning and software engineering by building the infrastructure that enables reliable, repeatable ML model training, evaluation, and deployment. They own the pipelines and tooling that allow ML engineers to move from experimentation to production efficiently, monitor model health in production, and trigger automated retraining when performance degrades. The role is critical in companies scaling from proof-of-concept AI features to production AI products serving real users.
How does MLOps differ from DevOps in Chennai tech companies?
MLOps extends standard DevOps practices to accommodate the unique challenges of machine learning systems, including data versioning, experiment tracking, model reproducibility, and monitoring for statistical drift rather than just system uptime. Chennai AI companies hiring MLOps engineers expect candidates to understand both software engineering principles and ML workflows, whereas DevOps roles focus purely on application and infrastructure automation. MLOps engineers typically need Python and ML framework familiarity that is not required in general DevOps roles.
Which MLOps tools are most used in Chennai?
MLflow is the most widely used experiment tracking and model registry tool in Chennai AI companies. Kubeflow and Apache Airflow are common for ML pipeline orchestration. Docker and Kubernetes are standard for containerised workload management. For model serving, Triton Inference Server, TorchServe, and FastAPI-based custom servers are popular. Great Expectations and Evidently AI are used for data and model monitoring. Cloud-native managed ML pipeline services from major cloud providers are also increasingly adopted.
What is the salary for MLOps Engineer in Chennai AI and ML Company in
A MLOps Engineer in Chennai earns between Rs.50,000 and Rs.1,17,000 per month in July 2026, depending on experience, skills, and employer.
What experience is required for MLOps Engineer jobs in
2 - 6 Years of relevant experience is typically required for MLOps Engineer positions in Chennai's private AI and ML Company sector.
வேலை விவரம் - தமிழில்
Chennai-ல் MLOps Engineer வேலைவாய்ப்பு. மாத சம்பளம் ரூ.50,000 முதல் ரூ.1,17,000 வரை. 2 - 6 Years અனுபவம் தேவை. AI and ML Company-ல் Full Time பணி. ஆர்வமுள்ளவர்கள் Jobzi மூலம் விண்ணப்பிக்கலாம்.