Algorithm Engineer – OpenData
Veeva Systems
full-time
Posted on:
Location Type: Remote
Location: Taiwan
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Tech Stack
About the role
- Work within a cross-functional data team to build scalable NLP and ML models
- Work from end-to-end on live production pipelines. Not just modeling, not theoretical
- Define the best approach to solve problems with ML. Build data and model pipelines
- Test, validate, deploy, and monitor solutions for impact
- Optimize models for production throughput and uptime requirements
- Automate deployments, testing, and monitoring (MLOps)
Requirements
- 2+ years of hands-on experience in a Machine Learning Engineer, Algorithm Engineer, or similar role
- Expert-level proficiency in Python, with strong experience in building production-ready ML code
- Solid foundation in machine learning concepts, including model training, evaluation, and optimization
- Practical experience with deep learning or ML frameworks, such as PyTorch, TensorFlow, or related libraries (e.g., TRL for reinforcement learning or fine-tuning workflows)
- Familiarity with modern MLOps practices, including experiment tracking, model versioning, and deployment, using at least one platform such as MLflow, Kubeflow, or AWS SageMaker
- Strong problem-solving ability and the capacity to work both independently and collaboratively
- Strong communication skills, with the ability to explain tech
Benefits
- Work Anywhere flexibility
- Positive impact on customers, employees, and communities
- Support for flexible work from home or in the office
- Commitment to balancing interests of stakeholders
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningNatural Language ProcessingPythonModel TrainingModel EvaluationModel OptimizationDeep LearningMLOpsExperiment TrackingModel Versioning
Soft Skills
Problem-SolvingCollaborationCommunication