Senior Data Engineer (NLP & ML)

Senior Data Engineer (NLP)

The driving force behind our Data Science and Machine Learning infrastructure at Mimecast

Embrace the incredible opportunities that lie within Mimecast, where innovation and impact converge. The cybersecurity industry is experiencing exponential growth, and by joining us, you'll be at the forefront of this ever-evolving landscape. The field is rapidly changing, as threat actors employ AI to scale up phishing and social engineering operations.

Why Join Our Team?

You'll have the chance to develop and utilise cutting-edge NLP models, empowering you to thwart these cyber villains and safeguard businesses and individuals alike. As a company that is well-established and committed to growth, we are actively expanding our ML team with a Senior Data Engineer role which is amongst the most senior roles in the team, directly reporting to the Director of Data Science. Join us on this exhilarating journey, where you'll shape the future of cybersecurity by developing large-scale NLP models that push the boundaries of innovation and make an indelible impact in protecting our digital world. – Hiring Manager

What you will do:

• Design and deploy state-of-the-art NLP and voice recognition models that are optimised for both accuracy and throughput
• Transform prototypes into production-ready ML applications that meet throughput and latency requirements
• Deploy and manage machine learning infrastructure necessary for productionising code (Docker, Terraform, etc)
• Build efficient data pipelines to handle text and audio data processing for ML models
• Deploy NLP models in cloud environments (AWS SageMaker) through Jenkins
• Use MLflow and other ML Ops applications to streamline ML workflows and adhere to data privacy and residency guidelines
• Communicate your work throughout the team and related departments
• Collaboration is a key factor of success. You will work in a team where everyone shares ownership and responsibility, everyone pushes one another to give the absolute best, and everyone tries to be a support for each other every day. You’ll also work with a variety of other teams, quickly and proactively establishing strong relationships with key stakeholders.
• Mentor and guide junior members of the team, establish and champion best practices and introduce fresh ideas and concepts from the ever-evolving research world of NLP

What we are looking for:

• 6+ years of experience working in Data Science and/or ML, with 4+ years developing large-scale NLP and/or voice recognition systems that are deployed to production environments
• Must have solid programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; moderate programming skills in Java are a plus.
• Familiarity with ML Ops system design and working with ML platforms (preferably, AWS SageMaker) is a plus.
• Strong analytical and problem-solving abilities, with a keen eye for detail and accuracy.
• Curiosity and a strong growth mindset with a demonstrable history of learning quickly in a loosely structured, rapidly changing environment.
• Excellent collaboration and communication skills.
• At least a bachelor's degree in computer science or other fields including significant amount of machine learning modules.

What We Bring

Join our Data Science and Machine Learning team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements.

Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge!

Our Hybrid Model:We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person:

• Fosters a culture of collaboration, communication, performance and learning
• Drives innovation and creativity within and between teams
• Introduces employees to priorities outside of their immediate realm
• Ensures important interpersonal relationships and connections with one another and our community!

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