
AI Model Developer
2 days ago
About This Role:
We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and developing AI and ML models that drive business growth and improve customer experiences.
The ideal candidate will have 5+ years of experience in scripting ML workflows using Python, with a strong focus on deploying ML pipelines as real-time, batch, or event-triggered applications. We are looking for someone with a solid understanding of the ML lifecycle, including model development, training, validation, deployment, and monitoring.
Required Skills and Qualifications:
- Experience in using AWS Sagemaker for deployment of ML pipelines and ML models, including Sagemaker Pipelines, Sagemaker MLflow, and Sagemaker Feature Store.
- Expertise in CI/CD pipelines specifically for ML workflows using Bitbucket, Jenkins, Nexus, and Autosys for scheduling.
- Good knowledge of containerization using Docker and orchestration using Kubernetes is a plus.
- Desirable skills include ETL processes for ML pipelines using PySpark, Kafka, and AWS EMR Serverless.
Benefits:
This role offers the opportunity to work with cutting-edge technology and collaborate with experienced professionals. We provide a collaborative environment where creativity and innovation thrive.
What You Will Need:
- A Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
- Strong communication and teamwork skills.
- A passion for learning and staying up-to-date with industry trends.
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