AI/ML Engineer
Agilisium · Chennai · onsite · Posted 52d ago
Undisclosed1–5 yrsfulltimeSourced from
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About this role
Calling All AIML Engineers! Ready to shape the future of intelligent solutions. Join Agilisium's Walk-in Drive on 27th June and take the next step in your AI career.
Role Senior AIML Engineer
Location Chennai
Experience 5+ Years
Responsibilities - Experience in GenAI, CICD 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 ML Ops 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.
Sourced from naukri
Skills
JenkinsDockerKubernetesApache KafkamlflowCloud Computingkerasml engineerdata mininggoogle cloud platformamazon web servicesapache airflowMiningKubeflowAnalyticsData AnalyticsdeploymentcloudArchitectureMicrosoft AzureGITArtificial IntelligenceMachine Learning
About Agilisium

Agilisium
IT Services & Consulting
441
employees
2014
12 years old
Los Angeles, CA
United States
About
Delivers innovative data-driven solutions to enhance decision-making and organizational growth in a rapidly evolving data landscape.
Industries
IT Services & Consulting
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116 reviews
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