Senior Machine Learning Engineer

Job Description:

Qualifications:

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
• MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
• 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
• Highly proficient programming in Python and either PySpark or Scala
• Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
• Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker
• Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute
• Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
• Good understanding of Big Data tech, specifically Kafka, Spark
• Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
• Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
• Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results oriented; able to meet tight timelines
• Ability to collaborate effectively across global team
• Experience in mentoring the junior team members ML skillset and career development

Nice to Have:

• PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
• Proficiency in Java