Machine Learning Engineer Mexico
hace 1 semana
About Us
Caylent is a cloud native services company that helps organizations unlock the full potential of their people and technology using Amazon Web Services (AWS). We provide a comprehensive range of AWS services, including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and more. At Caylent, our people are our top priority.
Our Culture
We are a fully remote global company with employees in Canada, the United States, and Latin America. We celebrate the unique culture of each of our team members and foster a community of technological curiosity. Our goal is to create a workplace where everyone feels valued and supported.
The Mission
As a Machine Learning Engineer at Caylent, you will be an integral part of a cross-functional delivery team, working to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone with a strong understanding of various model types and tools, who can help our customers connect their business goals with the details of feature design, model training, and inference.
Your Responsibilities
- 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
- At least 3 years of hands-on experience in at least a few of the following ML tools/techniques:
- Build ML models in SageMaker
- Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker
- Train and deploy AWS pre-trained AI Services and Foundational Models
- Build and optimize models using feature definition, activation functions, hyperparameter tuning, and other techniques
- Integrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimization
- Monitor, evaluate, and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps
- Hands-on experience in the following data engineering tools/techniques:
- Data integration, cleansing, transformation, and visualization using Python packages, SQL, etc.
- AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS, etc.
- Experience with an IaC tool such as CloudFormation, CDK, or Terraform
- Excellent written and verbal communication skills
What We Offer
- Medical Insurance for you and eligible dependents
- Generous holidays and flexible PTO
- Paid exams and certifications
- Peer bonus awards
- State-of-the-art laptop and tools
- Equipment & Office Stipend
- Annual stipend for Learning and Development
Our Commitment to Diversity and Inclusion
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us build a winning team that represents a variety of backgrounds, perspectives, and abilities. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.
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