Machine Learning Engineer

Join our dynamic team as a Machine Learning Engineer where you'll play a pivotal role in maintaining and enhancing critical batch workflows for large-scale forecasting. This contract position offers an exciting opportunity to work with cutting-edge technologies and contribute to impactful projects. Responsibilities • Support and maintain essential batch workflows using a custom scheduling tool. • Monitor, troubleshoot, and restart jobs to ensure minimal downtime and system reliability. • Enhance job functionality and performance through code improvements in Python, Bash, and Terraform. • Implement observability metrics and monitoring solutions with tools like OTEL and Kibana. • Collaborate effectively through GitHub for code reviews and improvements. Skills • Proficiency in Python (PySpark), Bash, and a working knowledge of R. • Experience with Apache Spark on YARN-managed clusters. • Familiarity with workflow orchestration tools and Terraform. • Strong problem-solving skills in distributed environments. • Effective communication skills in cross-functional settings. Preferred Skills • Experience with Airflow or similar orchestration tools. • Knowledge of Grafana, MLOps, and OpenTelemetry. • Background in Docker and the Apache Spark ecosystem. At Horizontal, we are committed to fostering a diverse, equitable, and inclusive environment where every team member is valued and empowered to thrive. Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview. Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $49 - $85 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.