AI/ML Engineer
Chennai, Tamil Nadu, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingBuild production-grade ML pipelines
Productionize ML models through deployment and orchestration
Work with data engineering pipelines
Work with multi-functional teams, principals, and architects
From the employer’s posting
Experience building production-grade ML pipelines
Hands on experience to Productionize the ML Model
Experience working with data engineering pipelines
Ability to work successfully with multi-functional teams, principals, and architects
What you’ll bring
All qualificationsCore experience
- 5+ years of experience
- Proficient in Python and TensorFlow, Keras, or PyTorch
- Experience in Gen AI and CI/CD pipelines
- Experience with MLOps tools such as MLFlow, Kubeflow, or SageMaker
- Experience with Docker, Kubernetes, Git and Jenkins
Preferred experience
- Third-party integration experience
Qualification wording
Exp: 5+ Years
Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch
Experience in Gen AI, CI/CD pipelines, scripting languages
Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc.
containerization (e.g. Docker)
third party integration is a plus
Tools in this posting
- Python
- AWS
- Azure
- Docker
- GCP
- Kafka
- Kubernetes
- MLflow
- Prefect
- SageMaker
- Airflow
- Keras
- PyTorch
- TensorFlow
Source — Tool mentions in context
Role: Senior AI/ML Engineer Walkin Venue: Agilisium Consulting,World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu Exp: 5+ Years JD: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · 6 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 24, 2026
- Employer says posted
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Role: Senior AI/ML Engineer Walkin Venue: Agilisium Consulting,World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu Exp: 5+ Years JD: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines
Source details
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- Pay
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- Location & working pattern
Chennai, Tamil Nadu, India
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- Work authorization
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