Senior Machine Learning Engineer

1 Month ago • 7 Years + • Research Development

Job Summary

Job Description

Fortra is seeking a Sr. Machine Learning Engineer to develop, enhance, and maintain Machine Learning pipelines and data science solutions. This role involves working on data pipelines, infrastructure, and deploying machine learning models for both existing and new products. The ideal candidate is a creative problem solver with expertise in ML Engineering, a strong commitment to excellence, and a team player. Responsibilities include leading complex ML engineering projects, designing and deploying ML models in production, developing scalable ML architecture, collaborating with data scientists, and evaluating new technologies. The role also involves providing mentorship, maintaining development roadmaps, and sharing MLOps framework expertise. The engineer will be the technical expert on ML model deployment and benchmarking, including LLMs and generative models, and will acquire domain expertise in cybersecurity applications.
Must have:
  • 7+ years in engineering/data science
  • Strong software engineering and data science knowledge
  • Experience developing system architecture
  • Expertise in Python, Java, or C++
  • Comprehensive MLOps background
  • Experience integrating with cloud technologies (AWS)
  • Proven track record of deploying ML models
  • Ability to collaborate with leads and architects
  • Excellent communication and problem-solving skills
  • Mentorship experience
Good to have:
  • 1+ year senior role experience
  • Multi-year experience as ML engineer
  • MS or PhD in technical field
  • Experience with MLflow and Kubeflow
  • Experience with PyTorch, TensorFlow, scikit-learn
  • Interest in cybersecurity applications
Perks:
  • Competitive benefits and salaries
  • Personal and professional development opportunities
  • Flexibility

Job Details

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

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.

Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on LinkedIn.

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.

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About The Company

At Fortra, we’re not just responding to cyber threats but anticipating them, planting obstacles, and breaking the attack chain. Fortra is a global cybersecurity company offering advanced offensive and defensive security solutions that deliver comprehensive protection across the cyber kill chain. Armed with a team of passionate experts driven by a shared purpose, we work together to empower our clients with the tools, intelligence, and expertise to safeguard what matters most. Fortra provides equal opportunity to all employees and applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, disability, genetic information, status as a covered veteran, age, marital status, membership or activity in a local human rights commission, status with regard to public assistance or any other protected characteristic.

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