Algorithm Engineer

Veeva SystemsSingapore - Singapore1w ago

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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
Experience with cutting-edge AI techniques, such as: Agentic AI / Autonomous Agents, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs) and fine-tuning approaches
Exposure to end-to-end ML systems, including data ingestion, model serving, monitoring, and automated retraining.
Experience working in cloud environments (AWS, GCP, or Azure).
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

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)