Time since we first saw it
Day 183
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer (on-site)
Timișoara, Timiș, Romania
Open 6 months, first seen by us 183 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 postingTurn detection problems into ML problems with a clear hypothesis and success criteria
Build, label, and version datasets for training and evaluation
Design, train, and tune models, then feed error analysis back into the work
Define evaluation metrics, splits, and thresholds tied to false-positive rate and latency
Take models to production on AWS with MLOps and software engineers
From the employer’s posting
Turn detection problems into well-posed ML problems with a clear hypothesis, baseline, and success criteria
Build, label, and version the datasets used for training and evaluation
Design, train, and tune models; analyze their errors and feed the findings back into data, features, or architecture
Define evaluation protocols: metrics, splits, held-out test sets, and thresholds tied to product constraints such as false-positive rate and latency
Take models from experiment to production on AWS together with MLOps and software engineers
Education & alternatives
- 3+ years of hands-on experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist, with models delivered to production - Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field - Strong Python and the scientific stack (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
Posting record
Report an errorOpen 6 monthsWe first saw this posting 183 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 4, 2026183 days ago
- Recorded sightings
- 166
- 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
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Docker
- MLflow
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field - Strong Python and the scientific stack (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) - Solid grounding in statistics and ML fundamentals: bias/variance, class imbalance, leakage, calibration
- Define evaluation protocols: metrics, splits, held-out test sets, and thresholds tied to product constraints such as false-positive rate and latency - Take models from experiment to production on AWS together with MLOps and software engineers, including packaging and inference optimization - Monitor deployed models for drift and drive retraining when needed
- Solid grounding in statistics and ML fundamentals: bias/variance, class imbalance, leakage, calibration - Practical experience with AWS for data storage and training workloads - Clear written and spoken English
- Experience with experiment tracking and model registries (MLflow, Weights & Biases, or similar) - Experience optimizing and packaging models for inference (quantization, distillation, ONNX, Docker) - Knowledge of file formats and binary analysis
Nice to Have - Experience with experiment tracking and model registries (MLflow, Weights & Biases, or similar) - Experience optimizing and packaging models for inference (quantization, distillation, ONNX, Docker)
Your next step
Complete your application on www.opswat.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
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.
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.
What You Will Be Doing
- Turn detection problems into well-posed ML problems with a clear hypothesis, baseline, and success criteria
- Build, label, and version the datasets used for training and evaluation
- Design, train, and tune models; analyze their errors and feed the findings back into data, features, or architecture
- Define evaluation protocols: metrics, splits, held-out test sets, and thresholds tied to product constraints such as false-positive rate and latency
- Take models from experiment to production on AWS together with MLOps and software engineers, including packaging and inference optimization
- Monitor deployed models for drift and drive retraining when needed
- Keep experiments reproducible and documented, and present results and trade-offs to engineering and product
What We Need From You
- 3+ years of hands-on experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist, with models delivered to production
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field
- Strong Python and the scientific stack (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
- Solid grounding in statistics and ML fundamentals: bias/variance, class imbalance, leakage, calibration
- Practical experience with AWS for data storage and training workloads
- Clear written and spoken English
Nice to Have
- Experience with experiment tracking and model registries (MLflow, Weights & Biases, or similar)
- Experience optimizing and packaging models for inference (quantization, distillation, ONNX, Docker)
- Knowledge of file formats and binary analysis
- Background in cybersecurity, threat detection, or another adversarial domain
- Publications, open-source contributions, or a competitive ML track record
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Timișoara, Timiș, Romania
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.