Advanced Machine Learning Engineer
Há 2 dias
Job DescriptionAs a seasoned professional in the field of machine learning, you will be responsible for designing, developing, and deploying scalable production-ready systems and end-to-end pipelines on AWS.Your expertise will drive the development of impactful ML solutions in collaboration with data scientists, software engineers, and product teams.Key ResponsibilitiesDesign and Development: Develop and deploy complex machine learning systems and pipelines on AWS.Collaboration and Partnership: Partner with cross-functional teams to define requirements, select algorithms, and deliver high-quality ML solutions.Infrastructure Architecture: Architect, optimize, and maintain large-scale ML infrastructure, including data ingestion, model training, deployment, serving, monitoring, and lifecycle management.Feature Engineering: Lead the data preparation and feature engineering process to ensure high-quality and scalable data across large datasets.Model Optimization: Implement and optimize various ML models (supervised, unsupervised, deep learning, NLP, recommendation systems) with a focus on performance, accuracy, and reliability.Requirements and QualificationsAdvanced Degree: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.Professional Experience: 7+ years of experience in designing, building, and deploying machine learning models in production environments.Technical Skills: Strong hands-on experience with AWS for ML workflows, expert proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn, and proficiency with TypeScript for building ML-integrated backend services and automation workflows.BenefitsYearly Allowance Budget:Macbook Purchase Support:Wellbeing Support:
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