
Cloud-Based MLOps Specialist
2 days ago
A cloud-based MLOps engineer is required to design, develop, and deploy scalable solutions using AWS services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue, and SageMaker.
The ideal candidate will have experience in software development with a strong focus on Python, expertise in AWS services, and proficiency in Infrastructure-as-Code (IaC) tools like AWS CDK and CloudFormation.
They should also have hands-on experience with data processing frameworks such as pandas, Spark, and PySpark, and a good understanding of machine learning concepts including model training, deployment, and monitoring.
Required Skills and Qualifications- 7+ years of experience in software development with a strong focus on Python
- Expertise in AWS services, including S3, Kinesis, Lambda, Redshift, DynamoDB, Glue, and SageMaker
- Proficiency in Infrastructure-as-Code (IaC) tools like AWS CDK and CloudFormation
- Experience with data processing frameworks such as pandas, Spark, and PySpark
- Understanding of machine learning concepts, including model training, deployment, and monitoring
This role offers the opportunity to work closely with cross-functional teams, providing technical guidance and mentorship to junior engineers.
The successful candidate will be able to optimize code, implement robust monitoring and logging solutions, and collaborate effectively with colleagues.
OthersStrong problem-solving skills, analytical thinking, and the ability to work in a fast-paced, collaborative environment are essential for this role.
The ideal candidate will also have experience with containerization (Docker, Kubernetes) and serverless architectures, as well as familiarity with big data technologies such as Apache Kafka, Hadoop, or AWS EMR.
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Director | MLOps Specialist | AWS Cloud
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