Thiruporur Road Chennai Tamil Nadu Senior ai/ml engineer Jobs – 173 Open Jobs Today

Senior AI ML Engineer
Tech Transient —Chennai, Tamil Nadu
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Quick apply
13d
Senior AI ML Engineer
Optum —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Data analysis skills
- Bachelor's degree
- Health insurance
Senior AI/ML Engineer
Ciklum —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
Senior Engineer
Qualcomm —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Engineering
Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation)
Infotel UK —Chennai, Tamil Nadu
- APIs
- AI
- Banking
- Paid time off
- Paid sick time
Quick apply
AI/ML Intern, Document Intelligence
Smart Data Solutions LLC —Perungudi, Chennai, Tamil Nadu
- Computer Science
- Master's degree
- Databases
Quick apply
Senior Software Engineer, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Senior AI/ML Engineer - Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Java
ML Engineer (NLP/GenAI)
Vestas —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
3d
Sr Data Engineers - AI/ML - Chennai
Photon —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Machine learning
- APIs
- Paid holidays
- Health insurance
IN_Senior Associate_AI Engineer_Digital Engineering Transformation_Advisory_Chennai
PwC —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- Bachelor's degree
7d
Senior AI/ML Engineer
Optum —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Research
- Health insurance
AI/ML Engineer
Agilisium —Chennai, Tamil Nadu
- Full-time
- Azure
- AWS
- Machine learning
AI Engineer
KLA —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
10d
AI/ML
Riverstone Infotech —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Senior AI Engineer
Luxoft —Chennai, Tamil Nadu
- Azure
- Software troubleshooting
- System design
Senior AI Engineer
Techila Global Services —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Salesforce
- Java
5d
Responsible AI Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- AI
Senior AI/ML Architect
Brainworks Solutions Pvt Ltd —Chennai, Tamil Nadu
- ₹30,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
3d
Hiring For Tech Lead
BSRI Solutions —Chennai, Tamil Nadu
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Computer Science
- DevOps
- Java

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Senior AI ML Engineer

Tech Transient
Chennai, Tamil Nadu

Quick apply

Job details

Permanent | Full-time
₹15,00,000 - ₹25,00,000 a year
13 days ago

Benefits

Health insurance

Qualifications

TensorFlow
CI/CD
Azure
Doctoral degree
Computer Science
Kubernetes
Software deployment
Spark
R
NoSQL
Master's degree
SQL
AWS
C++
Docker
C
Bachelor's degree
Continuous integration
Data science
Keras
AI
Python
Hadoop

Full job description

SENIOR AI/ML ENGINEER

Job Description

5+ Years

LOCATION

Bangalore / Chennai

Work From Office – 5 Days

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

To apply, please write to [email protected]

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Work Location: In person

Quick apply

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