Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 0 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in + communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 0 list of fastest-growing American companies since 8. Summary The Machine Learning Engineering function is responsible for ensuring Smarsh can run state-of-the-art enterprise-grade machine learning at scale in a cost-effective manner. The Machine Learning Engineering Group develops and maintains the ML infrastructure, tooling, and analytic services to power intelligent applications. We are seeking a highly skilled and experienced hands-on Machine Learning Engineering Manager to lead an agile team of talented ML Engineers.
How will you contribute?
1. Technical Leadership:
2. Collaborate with data scientists, software engineers and other stakeholders to design dynamically scalable and efficient Analytic services leveraging in-house and third-party models.
3. Lead by example by actively contributing to design, development, and support of Analytic services in production environments following Smarsh standard Engineering methodology and processes.
4. Provide Technical guidance and mentorship to team members fostering culture of learning and innovation.
5. Communicate updates and risks proactively on the progress of team’s commitments to key stakeholders and aligning with overall business objectives.
6. Championing Quality of Product and Service adopting standards, methods, metrics, and processes ensuring continuous assessment, learning and improvement
7. Product mindset while being aware and addressing customer challenges and business needs
People Management
8. Manage a team of ML engineers including hiring, mentoring and performance management.
9. Manage multiple teams across geographic regions
10. Set clear goals and expectations for the team and provide regular feedback and support to help team members achieve objectives.
11. Identify opportunities for professional development and growth for team members and support their career advancement within the organization.
12. Foster cross collaboration, promoting knowledge sharing aligning to OneSmarsh
13. Collaborate with peer engineering leaders influencing outcomes with-in and outside team
14. Can weigh the pros and cons of various solutions and propose the best path.
15. Recognize issue patterns and implement proactive measures to address the root causes.
16. Manage task lifecycle using tools like JIRA
17. Participate in internal & external code reviews, provide feedback for continuous improvement.
18. Influence, Establish and Sustain Best Practices.
19. Actively participate in team agile ceremonies and provide valuable inputs.
20. Other duties as assigned.
Technical Requirements
21. Good experience and Proficiency with JVM language (Java/Kotlin) and experience in Python
22. Experience in NLP, ML-Ops and data pipelines
23. Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn
24. Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies
25. Experience with Data processing, feature engineering and model evaluation techniques.
26. Experience in cloud platforms like Amazon Web Services & Google Cloud
27. Experience with Amazon Sagemaker and Jupyter Notebooks
28. Experience with Model Servers such as Triton Inference server
29. Experience working in AI/ML based Analytics products
30. Experience in microservices & event-driven architecture
31. Exposure and experience in building ML applications/services with cloud scalability
32. Experience in Kafka and RDBMS such as MySQL & Postgres
33. Proficient in containerized platforms like Docker, Helm & Kubernetes
34. Experience in CI/CD tools like Bamboo, ArgoCD
35. Experience in Prometheus & Grafana
36. Proficient in API design
37. Proficient in working with distributed systems
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified and interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. including the frequency of functions. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.