Whether you’re an experienced professional or just getting started, your
contributions matter at Fortra. If you’re passionate about tackling meaningful
challenges alongside talented team members committed to helping each other
succeed, all while having lots of fun, we want to hear from you. We offer
competitive benefits and salaries, personal and professional development
opportunities, flexibility, and much more
[https://www.fortra.com/about/careers#our-benefits]!
At Fortra, we’re breaking the attack chain. Ready to join us?
This position is responsible for developing, enhancing, and maintaining our
Machine Learning pipelines and data science solutions including data pipelines,
infrastructure, and deployment of machine learning models. The scope of the role
includes both existing software products and new products in development. The
ideal candidate has a strong commitment to excellence, brings a wealth of
expertise in ML Engineering, is a creative problem solver, and a team player.
WHAT YOU'LL DO
- Lead highly complex ML engineering projects with extensive latitude for
independent judgment.
- Design, develop, document, test, and debug software engineering solutions for
both customer-facing applications and internal use.
- Deploy, scale, and maintain machine learning models in production
environments.
- Develop scalable ML architecture and pipelines.
- Collaborate with data scientists to optimize, test, and evaluate ML models.
- Identify and evaluate new platforms and technologies to enhance our existing
systems.
- Follow and help define and enforce our development best practices and
standards.
- Provide mentorship and assistance to less experienced team members.
- Collaborate with architects and engineering managers to maintain development
roadmaps and prioritize new features.
- Engage with data science and engineering teams to understand requirements and
constraints for multiple products.
- Share your technical knowledge and MLOps framework expertise with team
members.
- Maintain up-to-date knowledge of related MLOps and data science topics and
technologies.
- Serve as the technical expert on the deployment and benchmarking of ML models
including LLMs, and generative models.
- Acquire domain expertise in at least one cybersecurity application area.
- Write technical documentation based on architectural design and stated
engineering requirements.
QUALIFICATIONS
- At least 7 years of experience in engineering and/or data science roles is
required with at least 1 year of senior role experience included. Multi-year
experience as an ML engineer is desirable.
- Strong academic background (M.S or PhD program in a technical field) is an
adequate substitute for a few years of industry experience.
- Thorough knowledge of software engineering and data science techniques and
methodologies, and experience leading projects applying these methodologies.
- Extensive experience developing system architecture and solving engineering
problems in at least one major programming language such as Python, Java, or
C++.
- Comprehensive MLOps background and expertise in data processing, model
training, and deployment of models as microservices.
- Substantial experience integrating applications with cloud technologies such
as AWS.
- Proven track record of deploying and benchmarking ML models in production
environments.
- Expertise in MLOps frameworks such as MLflow and Kubeflow is nice to have.
- Solid experience with Python-based frameworks such as PyTorch, TensorFlow,
and scikit-learn is a plus.
- Demonstrated ability to collaborate with engineering leads, software
architects, and other stakeholders to advance engineering and data science
projects.
- Led multiple projects to completion in a small team.
- Proven experience assisting or providing mentorship to junior engineers.
- Excellent communication and presentation skills. Ability to convey
complicated technical topics to non-technical people both verbally and in
writing.
- Demonstrated excellent problem solving ability and critical thinking skill
with a variety of engineering challenges.
- Comfortable and enthusiastic about sharing technical knowledge with team
members.
- Interest in cybersecurity applications.
3384
This position requires proficiency in English to interact, support and/or
provide services to non-French speaking customers, employees and/or partners
inside and/or outside the province of Quebec.
[https://helpsystemsllc.sharepoint.com/sites/marketing/Branding/Logos/fortra-logo-sky-blue-dusk-green.jpg?web=1]
Visit our website [https://www.fortra.com/about/careers] to learn more about why
employees choose to work for Fortra. Remember to connect with us on LinkedIn
[https://www.linkedin.com/company/fortra/mycompany/].
As an EEO/Affirmative Action Employer, all qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
national origin, sexual orientation, gender identity, veteran or disability
status.
