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Architect - Machine Learning


Smarsh Inc.


Location

Belfast | United Kingdom


Job description

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.

As an architect within the Machine Learning Group, your role involves collaborating with stakeholders across the group to define a vision and direction for the wider team.

When communicating with data scientists, engineers and managers across the group, you will have a good understanding of Machine Learning concepts and how these technologies can be applied to enterprise-grade machine learning at scale, and in a cost-efficient manner.

Leading the development and operations of the Smarsh machine-learning platform, you would be expected to present your ideas and solutions to both technical and non-technical audiences. Providing mentorship and experience to the wider team and demonstrating critical thinking when rationalizing issues and problem-solving.

As a hands-on engineering leader, you will be involved in the design and development of new microservices, APIs and data schemas used across the group, including design capture and the use of design patterns where appropriate.

Working within agile software development teams, you will deliver new features using tools including Java/Kotlin, Python and other modern development languages.

You will be familiar with Cloud Computing technologies:

· Experience with public cloud vendors including AWS, GCP or Azure

· Cloud-native and containerized applications including Docker and Kubernetes

· Continuous Integration and Continuous Deployment technologies

· Security including RBAC/IAM, Encryption and Service Mesh technologies.

· Data stores including Elasticsearch, SQL/NoSQL and object storage.

· Cloud cost management and optimization

You will be faced with the challenge of developing and operating a big data analytic processing system. This system will require some understanding of data engineering, concurrent stream processing and reconciliation, asynchronous message brokers and GPU-based processing.

How will you contribute? What will you bring? What do we offer?

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 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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Job tags

Permanent employmentWork at officeFlexible hours


Salary

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