Remote Lead Machine Learning Engineer

Summary

Join Smarsh as a Lead Machine Learning Engineer to lead and drive the implementation of advanced analytics that delivers communications intelligence, collaborating closely with cross-functional agile teams.

Requirements

• 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
• Exposure and experience in building ML applications/services with cloud scalability
• Experience in Kafka and RDBMS such as MySQL & Postgres
• Proficient in containerized platforms like Docker, Helm & Kubernetes
• Experience in CI/CD tools like Bamboo, Argo CD
• Experience in Prometheus & Grafana
• Proficient in API design
• Proficient in working with distributed systems

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
• Can break down complex technical solutions into simple abstractions
• Influence Principal Engineers/Product Managers on product designs
• Can investigate and solve complex bugs, performance, security, and scalability issues
• Actively participate in troubleshooting and fixing Production Issues following the incident management process
• Recognize issue patterns and implement proactive measures to address the root causes
• Manage task lifecycle using tools like JIRA
• Participate in internal & external code reviews, provide and receive feedback for continuous improvement
• Influence, Establish and Sustain Best Practices
• Mentor and coach team members
• Actively participate in team agile ceremonies and provide valuable inputs

Benefits

• Healthcare insurance
• Personal time off
• 401K Match
• Sabbatical – The Smarsh sabbatical program provides a time to recharge, to study or simply a time to do something you are passionate about away from the workplace. Employees are eligible after six years of service
• Recognition - We’re big on kudos for a job well done. Our employee-recognition program enables co-workers to nominate their peers who best embody our core values for recognition