
Senior Machine Learning Specialist
6 hours ago
Job Description:
We're looking for an experienced machine learning engineer to work on developing and deploying AI solutions. The ideal candidate will have a strong background in machine learning, experience with AWS Sagemaker, and proficiency in programming languages such as Python.
Required Skills and Qualifications:
- 5+ years of experience in scripting ML workflows and deploying ML pipelines using real-time, batch, and event-triggered processes.
- 4+ years of experience in using AWS Sagemaker for deployment of ML pipelines and ML models using Sagemaker pipelines, Sagemaker MLflow, and Sagemaker Feature Store.
- 3+ years of development experience with APIs using FastAPI, Flask, and Django.
- 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, and mlflow.
- Solid understanding of the ML lifecycle: model development, training, validation, deployment, and monitoring.
- Solid understanding of CI/CD pipelines specifically for ML workflows using Bitbucket, Jenkins, Nexus, and Autosys for scheduling.
- Experience with ETL process for ML pipelines using PySpark, Kafka, and AWS EMR Serverless.
- Good to have experience in H2O.ai and containerization using Docker and orchestration using Kubernetes.
Benefits:
As a machine learning engineer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and participate in ongoing training and development programs.
Others:
Our team is passionate about delivering high-quality results and driving innovation in the field of AI and machine learning. If you are motivated, detail-oriented, and passionate about machine learning, we encourage you to apply for this exciting opportunity.
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