Senior CV / ML Engineer (3968)
GBG Plc · United States
- Hybrid
- Full-time
- $140,000 / year
- United States
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Job highlights
- Design, develop, deploy ML/CV models for KYC.
- Optimize models using CNNs, transformers, LoRA.
- Evaluate, analyze data, and enhance model accuracy.
- Support end-to-end ML workflows and MLOps.
- Mentor junior engineers and collaborate cross-functionally.
About the role
About GBG
Enabling safe and rewarding digital lives for genuine people, everywhere.We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role
CVML TeamsAt the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
Senior CVML Engineer
The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production‑grade systems. This role combines strong hands‑on technical execution with mentorship, collaboration, and data‑driven problem solving.
Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross‑functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality.
What you will do
Technical Development & Innovation- Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities.
- Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models.
- Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput.
- Fine‑tune large‑scale models using efficient adaptation techniques such as LoRA and QLoRA.
- Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices).
- Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.
- Propose and implement data‑driven enhancements to model accuracy, robustness, and system stability.
- Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.
- Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.
- Assist in diagnosing and resolving model performance regressions and production issues.
- Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.
- Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability.
- Contribute actively to Agile ceremonies and collaborative problem‑solving efforts.
- Proactively suggest improvements to existing models, workflows, tools, and product features.
- Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions.
- Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems.
Skills we’re looking for
- Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience
- Strong hands‑on experience developing and deploying machine learning models in production environments.
- Advanced understanding of supervised, unsupervised, and semi‑supervised learning techniques.
- Expertise in classification, regression, clustering, and anomaly detection.
- Solid experience with convolutional neural networks, recurrent neural networks, and transformer‑based models.
- Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)
- Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning.
- Experience using computer vision and scientific computing libraries such as OpenCV.
- Familiarity with model deployment, monitoring, and CI/CD workflows.
- Beneficial to have experience working with large‑scale datasets and performance‑critical ML systems.
- Prior experience mentoring or technically guiding other ML engineers.
- Beneficial to have exposure to production MLOps practices and model lifecycle management.
- Able to balances research‑driven exploration with pragmatic, production‑focused execution.
To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, apply and we’ll be in touch.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Key skills/competency
- Machine Learning Engineer
- Computer Vision
- Python
- PyTorch
- Deep Learning
- CNNs
- Transformers
- MLOps
- Production Deployment
- Mentorship
Skills & topics
- Machine Learning Engineer
- Computer Vision Engineer
- AI Engineer
- Python
- PyTorch
- Deep Learning
- CNN
- Transformers
- MLOps
- Production ML
- Senior Engineer
- GBG Plc
How to get hired
- Tailor your resume: Highlight your experience with ML/CV, Python, PyTorch, and production deployment. Emphasize any mentorship or leadership roles.
- Showcase your skills: Quantify your achievements in model development, optimization, and deployment. Include specific techniques like CNNs, transformers, and LoRA.
- Prepare for technical questions: Be ready to discuss your experience with model evaluation, data analysis, MLOps, and CI/CD pipelines.
- Demonstrate collaborative spirit: Highlight your ability to mentor junior engineers and work effectively in an Agile environment.
- Understand GBG's mission: Align your application with GBG's goal of enabling safe digital lives and verifying genuine identities.
Technical preparation
Practice Python coding and PyTorch model implementation.,Review CNN, transformer, and vision-language architectures.,Familiarize with LoRA and QLoRA fine-tuning methods.,Understand model evaluation metrics and data analysis.
Behavioral questions
Describe a complex ML problem you solved.,How have you mentored junior engineers effectively?,Explain your approach to production model deployment.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What are the primary responsibilities of a Senior CV/ML Engineer at GBG?
- As a Senior CV/ML Engineer at GBG, you'll design, develop, deploy, and refine machine learning and computer vision models for KYC verification. This includes technical development, model evaluation, production deployment, MLOps, and mentoring junior engineers.
- What technical skills are most important for this Senior CV/ML Engineer role at GBG?
- Key technical skills include a strong background in Python and PyTorch, advanced knowledge of supervised/unsupervised learning, expertise in CNNs, transformers, and vision-language models, and hands-on experience with model deployment and MLOps.
- Does GBG offer opportunities for career growth for a Senior CV/ML Engineer?
- Yes, GBG emphasizes continuous improvement and team capability building. As a Senior CV/ML Engineer, you'll have opportunities to mentor junior team members, participate in knowledge sharing, and stay abreast of emerging ML trends.
- What is the work environment like for the Senior CV/ML Engineer at GBG?
- The role operates within an Agile environment, emphasizing collaboration, automation, and data-driven problem-solving. You'll work closely with the machine learning team and cross-functional partners to deliver impactful ML solutions.
- How does GBG ensure a diverse and inclusive workplace for its Senior CV/ML Engineers?
- GBG is committed to creating a diverse and inclusive workplace where everyone feels valued and empowered. They encourage candidates to inform their Talent Attraction Partner if any adjustments are needed for the interview process.
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