Senior Machine Learning Engineer at Caylent

Argentina

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Strong experience in building ML models for real world applications
Strong experience in at least one of: 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: 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

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
Design and document machine learning solutions on the AWS cloud for customers
Participate in bi-weekly agile ceremonies with the customer

Skills

SageMaker

Keras

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

Airflow

MLOps

Time Series Forecasting

AWS ML Services

Big Data Processing

Caylent

Cloud-native services for AWS solutions

About Caylent

Caylent offers cloud-native services that help organizations utilize Amazon Web Services (AWS) to improve their technology and workforce. The company specializes in building, scaling, and optimizing cloud solutions, serving clients from those just starting their cloud journey to those seeking advanced capabilities. Caylent stands out by using a co-delivery approach, working closely with clients to create tailored solutions while also teaching them to manage their cloud environments. Their goal is to accelerate time-to-value for clients through expert consulting and ongoing support.

Irvine, CaliforniaHeadquarters

2015Year Founded

$15.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, CybersecurityIndustries

501-1,000Employees

Benefits

Remote Work Options

Health Insurance

Company Equity

Long-Term Disability

401(k) Company Match

Unlimited Paid Time Off

Paid Sick Leave

Paid Holidays

Parental Leave

Professional Development Budget

Performance Bonus

Home Office Stipend

Flexible Work Hours

Equipment & Office Stipend

Conference Attendance Budget

Risks

Rapid AI evolution may outpace Caylent's capabilities despite its partnership with Anthropic.

East Los Capital's exit could impact Caylent's financial stability and growth initiatives.

MeteorAI's adoption may face challenges if enterprises hesitate to integrate new AI frameworks.

Differentiation

Caylent is a Kubernetes Certified Service Provider, enhancing its cloud-native service offerings.

The company has a strategic partnership with Anthropic to advance enterprise AI solutions.

Caylent's MeteorAI framework accelerates generative AI experimentation for enterprises.

Upsides

Caylent won three 2024 AWS Partner of the Year Awards, boosting its industry credibility.

The growing demand for cloud-native security aligns with Caylent's expertise in cloud solutions.

Rising hybrid cloud adoption offers Caylent opportunities in tailored migration and optimization services.

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