ML Engineer III

Job#: 2014725

Job Description:

Values important to this role:
  • Excellent analytical and problem-solving skills with an aptitude for troubleshooting issues.
  • Drive for continuous improvement within an agile development team.
  • Communicate and work with geographically distributed cross functional teams. 
Functional activities the resource should be capable of:
  • Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. 
  • Work collaboratively with data scientists, machine learning engineers, program, and product managers in the development of assigned components. 
  • Prototype creative solutions quickly by developing minimum viable products. 
  • Actively participate in group technology reviews to critique work of self and others. 
Technical skills: 
  • Ability to write robust code in one or more of Python, Scala, and Java 
  • Proficient in core technologies like Spark, Hadoop, and Hive. 
  • Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis. 
  • Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. 
  • Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow). 
  • Experienced in using SQL for querying data from relational tables. 
  • Degree with strong technical focus (Computer Science, Engineering). 
About our team:
Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?
This is exactly what we, the Machine Learning Engineering group, do.? Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform our data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers.?Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more!

















EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Employee Type:

Chicago, IL, US

Job Type:
Applications and Data Management

Date Posted:
February 6, 2024