Artificial Intelligence/Machine Learning Engineer
2 months ago
Job Description :
1. Experience in 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.
2. Experience in 4+ years of experience building production-grade ML pipelines.
3. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch.
4. Experience with cloud build, deployment, and orchestration tools
5. Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc.,
6. Experience in statistical modeling, machine learning, data mining, and unstructured data analytics.
7. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model
8. Detail-oriented, with the ability to work both independently and collaboratively.
9. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies.
10. Equal comfort driving low-level technical implementation and high-level architecture evolution
11. Experience working with data engineering pipelines.
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