Caylent
Senior Machine Learning Engineer
Vaga remota de Senior Machine Learning Engineer com fit claro de localização do candidato.
Publicada16 de jun. de 2026
Países elegíveis25 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Senior Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Your Assignments
- Work with a team to deliver machine learning solutions on AWS for customers
- Participate in and contribute to daily standup meetings
- Develop and implement ML models, MLOps, and analytics
- Big data processing and preparation of training data for models
Your Qualifications
- Strong experience in building ML models for real world applications
- Strong experience in at least one of these:
- AWS ML Services/SageMaker
- ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
- MLOps tools such as MLflow, Kubeflow, Airflow
- Advanced analytics using time series forecasting and/or inferential statistics
- Strong experience in one or more of these data processing solutions:
- Big data processing platforms like Spark, Hadoop, or streaming platforms
- Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
- Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
- Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
- Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
- Excellent written and verbal communication skills
Details
- AWS ML Services/SageMaker
- ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
- MLOps tools such as MLflow, Kubeflow, Airflow
- Advanced analytics using time series forecasting and/or inferential statistics
- Big data processing platforms like Spark, Hadoop, or streaming platforms
- Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
Benefits
- Pay in USD
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
- Equipment & Office Stipend
- Individual professional development plan
- Annual stipend for Learning and Development
- Work with an amazing worldwide team and in an incredible corporate culture
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