Machine Learning Engineer - III (Extraction)
Quick Summary
Responsibilities
~1 min read.
- →Design and implement machine learning, deep learning, classical CV and NLP algorithms focused on data extraction.
- →Research to support the deployment of advanced algorithms.
- →Develop, evolve, and support production-quality code.
- →Deploy models as AWS SageMaker endpoints or directly onto devices.
- →Stay updated with the latest advancements in deep learning, computer vision, and NLP by engaging with academic papers and attending industry conferences.
- →Work collaboratively with other engineers and product managers in an Agile development environment.
Requirements
~1 min read- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- A minimum of 6+ years of commercial experience in the field of computer vision, ML or a related area, not including time spent studying (5 years with Master’s).
- Proficiency in computer vision, deep learning and natural language processing techniques.
- Proficiency in working with LLMs and VLMs.
- Hands-on experience with PyTorch or TensorFlow, OpenCV, SKLearn, and in developing production-grade Python code.
- Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
- Experience in building, training, and deploying ML models to production environments.
- Strong communication and problem-solving skills.
Requirements
~1 min read
- PhD in Computer Science or related field with a specialization in computer vision, deep learning or NLP.
- Experience in developing algorithms for OCR, text extraction and text understanding.
- End to end experience (training, deploying, monitoring) with shipping VLM and LLM models in a production environment.
- Understanding of Spring / Java based system architectures.
- Experience with cloud environments - AWS / GCP.
- IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
Listing Details
- Posted
- February 11, 2026
- First seen
- March 26, 2026
- Last seen
- April 17, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 45%
- Scored at
- April 17, 2026
Signal breakdown
Please let Jumio know you found this job on Jobera.
4 other jobs at Jumio
View all →Explore open roles at Jumio.
Similar Machine Learning Engineer jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.
