Ml Engineer

Job Description

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 eit Experience with ML frameworks such as Pytorch, TensorFlow her PySpark or Scalaw, 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 Distributed 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 Motivated, team player with ability to collaborate effectively across global team Experience in mentoring the junior team members ML skillset and career development Bonus Points: PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Proficiency in Java