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Posted Aug 29, 2023Senior Machine Learning Engineer - Not an Active Opening, Building Talent Pipeline
at Caylent
Mexico, MexicoOn-site
Responsibilities
- Develop and implement ML models, MLOps, and analytics
Requirements
- Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS).
- We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
- At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will develop solutions designed by an architect.
- Work with a team to deliver machine learning solutions on AWS for customers
- 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
- State of the art laptop and tools
- As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate
- If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
Benefits
- Medical Insurance for you and eligible dependents
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications Peer bonus awards
- Equipment & Office Stipend
- Annual stipend for Learning and Development
- NOTE: We’re unable to provide visa sponsorship now or at any time in the future.
Contact
- If you have any questions, please contact talent@caylent.com
- If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.
Additional details
- At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America.
- We celebrate the culture of each of our team members and foster a community of technological curiosity.
- Come talk to us to learn more about what it means to be a Caylien!
- Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent.
- If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits. The Mission
- You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer. Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent. Your Assignments
- Participate in and contribute to daily standup meetings
- Big data processing and preparation of training data for models Your
- Excellent written and verbal communication skills Benefits 100% remote work
- Work with an amazing worldwide team and in an incredible corporate culture