Machine Learning Engineer II

1 Month ago • 4 Years + • Research Development

Job Summary

Job Description

This position involves developing, enhancing, and maintaining Machine Learning pipelines and data science solutions, including data pipelines, infrastructure, and the deployment of machine learning models. The role encompasses both existing and new software products. The ideal candidate should be committed to excellence, possess ML engineering expertise, take initiative, be a creative problem-solver, and a team player. Responsibilities include collaborating on ML engineering projects, optimizing and evaluating ML models, designing and developing software solutions, deploying and maintaining models, following development best practices, participating in Agile ceremonies, assisting junior team members, and understanding requirements from data science and engineering teams. The candidate will also independently explore MLOps and data science technologies, acquire technical and domain expertise, and write technical documentation.
Must have:
  • 4+ years of experience in engineering/data science roles
  • Strong academic background (M.S or PhD)
  • Experience in system architecture and solving problems in Python, Java, or C++
  • Knowledge of software engineering and data science techniques
  • Experience integrating applications with cloud technologies like AWS
  • Experience deploying ML models in production environments
Good to have:
  • Expertise in MLOps frameworks such as MLflow and Kubeflow
  • Comfort with Python-based frameworks like PyTorch, TensorFlow, and scikit-learn
  • Experience assisting or mentoring junior engineers
  • Good communication and presentation skills
  • Experience with Agile/Scrum methodology
  • Interest in cybersecurity applications

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, confidence in their ML engineering expertise, started to take initiative and works with less supervision, is a creative problem solver, and a team player.

WHAT YOU'LL DO

  • Work on various ML engineering projects with minimal supervision.
  • Collaborate with data scientists to optimize, test, and evaluate ML models.
  • Help to design, develop, document, test, and debug software engineering solutions for both customer-facing applications and internal use.
  • Help to deploy, scale, and maintain machine learning models in production environments.
  • Follow and help enforce our development best practices and standards.
  • Actively participate or sometimes take the lead in Agile ceremonies.
  • Provide assistance to less experienced team members.
  • Engage with data science and engineering teams to understand requirements and constraints for multiple products.
  • Collaborate with other engineers and data scientists within a small team structure.
  • Continually pursue independent exploration of related MLOps and data science topics and technologies.
  • Acquire technical expertise on the development of ML models including LLMs and generative models.
  • Acquire domain expertise in one cybersecurity application area.
  • Write technical documentation of small-scale components based on architectural design and stated engineering requirements.

QUALIFICATIONS

  • At least 4 years of experience in engineering and/or data science roles is required. At least one year of ML engineering experience 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.
  • Solid experience developing system architecture and solving engineering problems in at least one major programming language such as Python, Java, or C++.
  • Solid knowledge of software engineering and data science techniques and methodologies and demonstrated ability to apply these methodologies in active projects.
  • Solid experience in integrating applications with cloud technologies such as AWS.
  • Successfully deployed multiple ML models in production environments.
  • Expertise in MLOps frameworks such as MLflow and Kubeflow is nice to have.
  • Comfort with Python-based frameworks such as PyTorch, TensorFlow, and scikit-learn is a plus.
  • Demonstrated ability to collaborate with other engineers and data scientists within a small team.
  • Some experience assisting or providing mentorship to junior engineers.
  • Good communication and presentation skills.
  • Ability to convey complicated technical topics to non-technical people both verbally and in writing. 
  • Demonstrated problem solving ability and critical thinking skill with a variety of engineering challenges.
  • Experience with the Agile/Scrum project development methodology.
  • Interest in cybersecurity applications.

3329

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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