Manager, Machine Learning Engineering

Who are we?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. 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. 5000 list of fastest-growing American companies since 2008.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?Technical Leadership: Collaborate with data scientists, software engineers and other stakeholders to design dynamically scalable and efficient Analytic services leveraging in-house and third-party models.Lead by example by actively contributing to design, development, and support of Analytic services in production environments following Smarsh standard Engineering methodology and processes.Provide Technical guidance and mentorship to team members fostering culture of learning and innovation.Communicate updates and risks proactively on the progress of team’s commitments to key stakeholders and aligning with overall business objectives.Championing Quality of Product and Service adopting standards, methods, metrics, and processes ensuring continuous assessment, learning and improvementProduct mindset while being aware and addressing customer challenges and business needsPeople ManagementManage a team of ML engineers including hiring, mentoring and performance management.Manage multiple teams across geographic regions Set clear goals and expectations for the team and provide regular feedback and support to help team members achieve objectives.Identify opportunities for professional development and growth for team members and support their career advancement within the organization.Foster cross collaboration, promoting knowledge sharing aligning to OneSmarshCollaborate with peer engineering leaders influencing outcomes with-in and outside teamCan weigh the pros and cons of various solutions and propose the best path.Recognize issue patterns and implement proactive measures to address the root causes.Manage task lifecycle using tools like JIRAParticipate in internal & external code reviews, provide feedback for continuous improvement.Influence, Establish and Sustain Best Practices.Actively participate in team agile ceremonies and provide valuable inputs.Other duties as assigned.Technical RequirementsGood experience and Proficiency with JVM language (Java/Kotlin) and experience in PythonExperience in NLP, ML-Ops and data pipelinesExperience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learnStrong understanding of ML Algorithms, Statistical techniques, and data analysis methodologiesExperience with Data processing, feature engineering and model evaluation techniques.Experience in cloud platforms like Amazon Web Services & Google CloudExperience with Amazon Sagemaker and Jupyter NotebooksExperience with Model Servers such as Triton Inference serverExperience working in AI/ML based Analytics productsExperience in microservices & event-driven architectureExposure and experience in building ML applications/services with cloud scalability Experience in Kafka and RDBMS such as MySQL & PostgresProficient in containerized platforms like Docker, Helm & KubernetesExperience in CI/CD tools like Bamboo, ArgoCDExperience in Prometheus & GrafanaProficient in API designProficient in working with distributed systemsWhat do we offer?We value our people and offer a competitive salary along with other benefits, including a strong maternity and paternity scheme, a workplace pension scheme, a generous holiday package, private medical insurance, dental insurance, group life assurance, group income protection, an employee assistance programme, a monthly wellness allowance, stock options, and much more.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 cultureSmarsh 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 Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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