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Day 69
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Machine Learning Engineer
Budapest, Hungary
Live, first seen by us 69 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingTrain and fine-tune models on curated datasets, running hyperparameter and architecture experiments
Build and maintain evaluation suites with regression tests and benchmark tracking across versions
Analyze model false positives and negatives and turn findings into dataset or training fixes
Package models with documentation and reproducible results for handoff to the Engine team
Contribute to internal tooling for experiment tracking and model comparison
From the employer’s posting
Train and fine-tune models against curated datasets; run systematic hyperparameter and architecture experiments
Build and maintain evaluation suites: regression tests for model behavior, benchmark tracking across model versions
Analyze model failures (false positives/negatives) and translate findings into dataset or training improvements
Package models with documentation, benchmarks, and reproducible evaluation results for Engine team handoff
Contribute to internal tooling for experiment tracking and model comparison
What you’ll bring
All qualificationsCore experience
- 2+ years ML engineering or applied data science experience
- Strong Python; hands-on experience with modern training and fine-tuning workflows
- Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
Qualification wording
2+ years ML engineering or applied data science experience
Strong Python; hands-on experience with modern training and fine-tuning workflows
Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202669 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
OPSWAT is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
See how this role fits your experience
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- Python
Where the posting names them
- 2+ years ML engineering or applied data science experience - Strong Python; hands-on experience with modern training and fine-tuning workflows - Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
Your next step
Complete your application on www.opswat.com. The employer’s form will show what is required.
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- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
We are looking for a driven and passionate Machine Learning Engineer who will own the data foundation the team runs on: dataset pipelines, labeling workflows, and data quality. Model quality is bottlenecked by data quality; this role removes that bottleneck. We've had a strong presence in Veszprém for over a decade, and we're now expanding into Budapest, this role is based in our newly opening Budapest office, right at the start of that growth.
You Will Have the Opportunity to
- Train and fine-tune models against curated datasets; run systematic hyperparameter and architecture experiments
- Build and maintain evaluation suites: regression tests for model behavior, benchmark tracking across model versions
- Analyze model failures (false positives/negatives) and translate findings into dataset or training improvements
- Package models with documentation, benchmarks, and reproducible evaluation results for Engine team handoff
- Contribute to internal tooling for experiment tracking and model comparison
What We Are Looking For
- 2+ years ML engineering or applied data science experience
- Strong Python; hands-on experience with modern training and fine-tuning workflows
- Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
- Comfortable working against defined acceptance criteria and production constraints
Why You'll Love Working Here
- Innovative Environment: Join a team at the forefront of cybersecurity innovation. At OPSWAT, you'll have the opportunity to work with cutting-edge technologies and contribute to solutions that shape the future of cybersecurity.
- Collaborative Culture: We foster a culture of collaboration, where every team member's input is valued. You'll have the chance to work alongside talented individuals who are passionate about cybersecurity and dedicated to making a difference.
- Professional Growth: At OPSWAT, we prioritize the growth and development of our team members. You'll have access to ongoing training and development opportunities to enhance your skills and advance your career in cybersecurity.
- Impactful Work: Join a mission-driven company that is committed to securing the digital world. Your work at OPSWAT will have a meaningful impact on organizations worldwide, protecting critical data and assets from evolving cyber threats.
- Fun and Dynamic Atmosphere: We believe in fostering a fun and dynamic work environment. From team-building activities to social events, you'll have plenty of opportunities to connect with your colleagues and enjoy the journey together.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
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Budapest, Hungary
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