ML Engineer
2 days ago
Implement and deploy machinelearning models that drive measurable impact for ourclients.
Partner withstakeholders to propose innovative solutions to existing businessproblems.
Own the fullend-to-end machine learning delivery lifecycle, including dataexploration, feature engineering, model selection and tuning,offline and online evaluation, deployment, andmaintenance.
Createtools, frameworks, and libraries that accelerate the delivery ofour ML products and improve ourworkflows.
Activelyparticipate in our AI and ML community, fostering a culture oflearning andexperimentation.
Qualifications
We'dlove to hear from you ifyou...
Have an advanceddegree in Computer Science, Mathematics, or a similar quantitativediscipline.
Areproficient withPython
Have a broadunderstanding of data extraction, data manipulation, and featureengineeringtechniques.
Are familiarwith statisticalmethodologies.
Haveexperience in productionizing machine learningmodels.
Have knowledgeof DevOps technologies such as Docker and ML Ops practices andplatforms likeMLflow.
Have experiencewith agile delivery methodologies andCI/CD.
Have strongcommunicationskills.
Nice tohave
Understanding ofNLP algorithms andtechniques.
Experiencewith Large Language Models (fine-tuning, RAG, agents), using OpenAI APIs.
Experience withcloud infrastructure.
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