Machine Learning Engineer
Description For Machine Learning Engineer
Smarsh, a leader in FinTech and RegTech, is seeking a Machine Learning Engineer to join their Conduct Engineering division. This role is crucial in developing and implementing advanced analytics for communications intelligence. As part of the Machine Learning Engineering team, you'll work on ML infrastructure, tooling, and analytic services to power intelligent applications. You'll collaborate with product managers, data scientists, and other stakeholders to deliver impactful solutions.
Key responsibilities include:
- Designing complex solutions across teams
- Implementing features with focus on quality, scalability, and maintainability
- Troubleshooting and fixing production issues
- Collaborating with multiple agile teams
- Tracking work in JIRA
Requirements:
- 2+ years of industry experience
- BS or Masters in Computer Science or equivalent
- Expert programming skills
- Strong analytical, design, and problem-solving skills
- Excellent communication and collaboration abilities
- Deep understanding of software architecture and continuous delivery
- Strong grasp of ML business and technology domains
Smarsh offers a collaborative culture that values innovation, humility, and humor. They work with leading communication platforms and cloud infrastructure, using the latest AI/ML technology. The company is committed to diversity and has received Comparably.com Best Places to Work Awards. Join Smarsh to be part of a global team pushing the boundaries of RegTech and FinTech.
Responsibilities For Machine Learning Engineer
- Design complex solutions across teams
- Implement features with focus on quality, scalability, and maintainability
- Troubleshoot and fix production issues
- Collaborate with multiple agile teams
- Track work in JIRA
- Integrate multiple software projects to solve higher-level challenges
- Work closely with Product Management and engineering team
- Investigate and solve complex bugs, performance, security and scalability issues
- Identify issue patterns and implement proactive measures
Requirements For Machine Learning Engineer
- BS or Masters in Computer Science or equivalent
- 2+ years of industry experience
- Expert programming skills
- Strong analytical, design, and problem-solving skills
- Excellent communication and collaboration abilities
- Deep understanding of software architecture and continuous delivery
- Strong grasp of ML business and technology domains
