Walk-in || AI/ML Engineer - Walk-in Drive on 27th June @ Chennai, WTC
- Source: Naukri
- Agilisium
- On-site
- Chennai
- Full-Time
- Mid level
Job Description
Calling AI Innovators!
If you’re passionate about Generative AI, LLMs, RAG, MLOps, and Machine Learning, this is your opportunity to join one of the fastest-growing AI-driven organizations.
Venue: Agilisium Consulting,World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096
If Interested,Pls do register in below link without fail to initiate entry pass
https://agilisium.zohorecruit.com/jobs/Careers/589705000035867149/AI-ML-Engineer?source=CareerSite
Job Description:
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
Skills
- Docker
- Jenkins
- amazon-web-services
- google-cloud-platform
- microsoft-azure
- Kubernetes
- Kafka
- Python
- Tensorflow
- Keras
- PyTorch
- ml-flow
- mlflow
- kubeflow
- vertex
- dvc
- Airflow
- apache-airflow
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