Machine Learning Engineer
4 weeks ago
ML POCs into machine learning pipelines• Recommend and implement improvements to our machine learning systems, including new modelling approaches, infrastructure, and deployment strategies• Conduct hands-on analyses of our data at all stages, from raw inputs to the final outputs, to drive hypothesis generation and performance measurement• Communicate technical concepts with clarity to non-technical stakeholders
Desired Profile-• 2-4 years of experience in
Data science
&
ML
with 2+ years of experience in deployment of ML models in production environment• A demonstrated track record of putting machine learning solutions into low latency production deployments• Fluency in Spark, Python/R with advanced skills in machine learning and deep learning libraries.•
Proficiency in MLOps workflow & tools like MLflow or Kubeflow• Working knowledge of version controls systems (GIT/SVC) & DevOps principles like unit test, integration testing & CI/CD• Excellent problem-solving skills• Strong written & verbal communication skills
Must have-• Experience on
Databricks and Azure cloud systems a plus• Experience working on recommendation systems a plus• Awareness of ML deployment strategies on Azure• Demonstrable prior experience of
adopting CI/CD for ML applications
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