Skills
- Bash
- Oracle
- Java
- Web development
- Scheduling
- Artificial intelligence
- Orchestration
- Apache Oozie
- Computer science
- Natural language processing
Job Description
Summary
We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.
• Automate end-to-end ETL/ML pipelines with structural understanding of data products.
. Automate, deploy and maintain ML pipelines into existing cloud resources.
• Work with team members to assist with data-related technical issues and support their data product needs.
• Work with team members to evaluate and improve existing ML system and models.
Required Skills
• A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
• Strong Python/Java programming skills
• Experience in implementing data pipelines using python
• Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
• Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
• Experience with query APIs using JSON, ProtocolBuffers, or XML
• Experience with Unix-based command line interface and Bash scripts
Optional Skills
• Experience with computer vision or natural language processing a plus.
• Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
• Data visualization or web development skills a plus
Education
Bachelors in computer science or engineering; Advanced degree preferred
Pay Range: $65/hr - $80/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1
We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.
• Automate end-to-end ETL/ML pipelines with structural understanding of data products.
. Automate, deploy and maintain ML pipelines into existing cloud resources.
• Work with team members to assist with data-related technical issues and support their data product needs.
• Work with team members to evaluate and improve existing ML system and models.
Required Skills
• A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
• Strong Python/Java programming skills
• Experience in implementing data pipelines using python
• Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
• Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
• Experience with query APIs using JSON, ProtocolBuffers, or XML
• Experience with Unix-based command line interface and Bash scripts
Optional Skills
• Experience with computer vision or natural language processing a plus.
• Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
• Data visualization or web development skills a plus
Education
Bachelors in computer science or engineering; Advanced degree preferred
Pay Range: $65/hr - $80/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1