AI/ML Engineer

Agilisium; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Agilisium Consulting is seeking experienced ML/AI engineers in Chennai for GenAI-driven ML pipeline development. You will work on end-to-end ML lifecycle, from model development to deployment, with strong emphasis on data engineering and cloud deployment.

Role requires 5+ years of experience in ML/AI, Python proficiency, and hands-on with Docker, Kubernetes, and CI/CD tools. On-site walk-in at World Trade Center, Perungudi, Chennai.

Qualifications

• Experience in GenAI, CI/CD pipelines, scripting languages, and version control systems like Git.
• Proficient in Python and ML frameworks (TensorFlow, Keras, PyTorch).
• Hands-on with containerization (Docker) and orchestration (Kubernetes).
• Familiar with ML lifecycle, MLOps, and productionizing ML models.
• Knowledge of cloud platforms (AWS, GCP, Azure) and CI/CD tools (Jenkins).

Responsibilities

• Develop and productionize ML pipelines with GenAI components.
• Build and maintain CI/CD pipelines and automated tests.
• Collaborate with multi-functional teams across geographies.
• Work on data engineering pipelines and cloud-based deployment.
• Experiment with ML lifecycle tooling such as MLFlow, Kubeflow, and DVC.

Skills

GenAI

CI/CD pipelines

Scripting languages

Git

Docker

Jenkins

AWS

GCP

Azure

Kubernetes

Kafka

ML pipelines

Python

TensorFlow

Keras

PyTorch

MLFlow

Kubeflow

Weights & Biases

AWS SageMaker

VertexAI

DVC

Airflow

Prefect

Statistical modeling

Data mining

Unstructured data analytics

ML Lifecycle

MLOps

Productionize ML

Data engineering pipelines

Tools

Docker

Kubernetes

Git

Jenkins

MLFlow

Kubeflow

Weights & Biases

AWS SageMaker

VertexAI

DVC

Airflow

Prefect

TensorFlow

Keras

PyTorch

Job description

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 inGenAI,CI/CD pipelines,scripting languages, and a deep understanding of version controlsystems(e.g. Git), containerization (e.g. Docker), and continuousintegration/deployment tools(e.g. Jenkins) third party integration isa plus, cloud computing platforms(e.g. AWS, GCP, Azure), Kubernetesand Kafka.
  
• Experience building production-gradeMLpipelines.
  
• Proficient inPython and frameworkslike Tensorflow, Keras, or PyTorch.
  
• Experience with cloud build, deployment, and orchestration tools
  
• Experience withMLOpstoolssuch as MLFlow, Kubeflow, Weights& Biases, AWSSagemaker, VertexAI, DVC,Airflow, Prefect, etc.,
  
• Experience instatistical modeling, machine learning, data mining, and unstructured data analytics.
  
• Understanding ofMLLifecycle,MLOps& Handson experience to Productionize theMLModel
  
• Detail-oriented, with the ability to work both independently and collaboratively.
  
• Ability to worksuccessfully with multi-functional teams, principals, and architects, acrossorganizational boundariesand geographies.
  
• Equal comfort driving low-level technical implementation and high-level architecture evolution
  
• Experience working with dataengineering pipelines