Lead Machine Learning Engineer

Job Summary

As a Lead Machine Learning Engineer at Smarsh, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence. This role is part of our FinTech and RegTech Product portfolio, where you will be part of a cross-functional agile team of talented ML engineers. You will collaborate closely with product managers, data scientists, and other stakeholders to deliver high-quality, secure, and resilient SaaS products.

Key Responsibilities

• Collaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges.
• Act as a subject matter expert in machine learning, fintech, and regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders.
• Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability.
• Influence Principal Engineers/Product Managers on product designs.
• Investigate and solve complex bugs, performance, security, and scalability issues.
• Actively participate in troubleshooting and fixing production issues following the incident management process.
• Manage task lifecycle using tools like JIRA.
• Participate in internal & external code reviews, provide and receive feedback for continuous improvement.
• Mentor and coach team members.

Required Skills and Experience

• Proficiency with JVM language (Java/Kotlin) and experience in Python.
• Experience in NLP, ML-Ops, and data pipelines.
• Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn.
• Strong understanding of ML algorithms, statistical techniques, and data analysis methodologies.
• Experience with data processing, feature engineering, and model evaluation techniques.
• Experience in cloud platforms like Amazon Web Services & Google Cloud.
• Experience with Amazon Sagemaker and Jupyter Notebooks.
• Experience with model servers such as Triton Inference Server.
• Experience working in AI/ML-based analytics products for fintech/regtech domain.
• Experience in microservices & event-driven architecture.
• Proficient in containerized platforms like Docker, Helm & Kubernetes.
• Experience in CI/CD tools like Bamboo, ArgoCD.
• Experience in Prometheus & Grafana.
• Proficient in API design and working with distributed systems.

What We Offer

• Healthcare Insurance: Medical, dental, and vision insurance.
• Personal Time Off: A "take-what-you-need" time off policy and flexible work arrangements.
• 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
• Sabbatical: Eligible after six years of service.
• Recognition Program: Enables co-workers to nominate their peers for recognition.

Salary

The salary range for this position is $150,000 - $170,000 per year. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty, and training.

About Smarsh

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal, or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. We are a global organization that values diversity and believes in providing opportunities for everyone to be their authentic self.