Job Description

To help continue our rapid growth and solve our clients’ toughest problems, we need a Machine Learning Engineer to join the team. In this role, you’ll work with a strong team of Data Engineers, Data Architects, and Data Scientists to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. Many of your efforts will provide you the opportunity to apply innovative and difference-making decisions while working with complex and/or unstructured data. You will gain visibility with senior leadership and work with a team that prioritizes your growth as a machine learning engineer.

If you love to solve problems and add value, please consider what your typical days might look like:

• Design, develop and deploy production-ready algorithms at scale
• Design develop and maintain data collection pipelines from diverse sources, structured and unstructured data
• Design, develop and maintain pipelines for model training and development
• Drive optimization, testing and tooling to improve quality of solutions

Qualifications

This is not an entry level/recent graduate role and requires at least 1-2 years of related industry experience. Some of the skills and experience we are expecting include:

• Bachelor’s Degree in Computer Science or related technical field required.
• Experience with modern programming languages e.g. Python, C#, Java and open source technologies
• Experience deploying and maintaining models at scale
• Experience with data structures, algorithm design, problem solving and complexity analysis
• Working knowledge of statistical analysis and predictive modeling
• Solid understanding of OO and common design patterns, CI/CD processes and container technologies.
• Working knowledge of relational and NoSQL database languages
• Experience with common development tools (Git, Maven, Jenkins) is a plus
• Experience with developing software products for cloud platform, e.g. AWS, Azure, GCP is a plus
• Experience with big data or streaming platforms, e.g. Spark, Kafka, MongoDB is a plus
• Proficiency with APIs, orchestration, and automation is a plus
• Comfortable on Linux for both development and operations.

Additional Information

What you should know about KSMC:

• KSMC employees work hard. We solve big problems, serve lots of clients, and are generally engaged throughout the entire workday and beyond. 
• We compensate well and show our appreciation in lots of ways including Thursday Throwdowns, quarterly employee events, Community Day, and family outings. 
• We have a great benefits package including a Self-Managed PTO Policy. 
• Our snack room is well stocked with healthy drinks and food to keep you going during your work day. 
• Our comprehensive wellness program includes team recreation activities and wellness reimbursement. 
• KSMC values lifelong learning and encourages all team members to continue to grow through formal and informal paths that include an Educational Assistance Program.  
• We emphasize your career advancement and development and set aside intentional time twice a year to evaluate your progress and goal set together, including your career growth track. 
• We pride ourselves in having the best talent in the industry and hope that you’re up for the challenge!