Machine Learning Engineer

hace 3 semanas

Ciudad de México, Ciudad de México Tbwa ChiatDay Inc A tiempo completo

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 & modernization, cloud native application development, DevOps, data engineering, security & compliance, and more. At Caylent, our people are our top priority.

We are a fully remote global company with employees in Canada, the United States, and Latin America. We celebrate the unique culture of each team member and foster a community of technological curiosity. Our team is passionate about delivering exceptional results and making a meaningful impact.

The Mission

As a Machine Learning Engineer at Caylent, you will be an integral part of a cross-functional delivery team, designing and documenting machine learning solutions on the AWS cloud for our customers. We are seeking 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 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
  • At least 3 years of hands-on experience in at least a few of these 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 these 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 TerraformExcellent written and verbal communication skillsMedical Insurance for you and eligible dependentsGenerous holidays and flexible PTOPaid for exams and certificationsPeer bonus awardsState-of-the-art laptop and toolsEquipment & Office StipendAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate culture

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 to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at

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LinkedIn Profile

At Caylent, we are dedicated to creating a diverse and inclusive workplace. To support our efforts in fostering a more equitable recruitment process, we invite you to share your gender identity voluntarily. This information is optional and will be kept confidential, used only to help us track and improve our diversity initiatives. If you prefer not to answer, you're welcome to select 'Prefer Not to Respond'. * Select...

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