Senior Machine Learning Engineer

Caylent; Argentina; A distancia; ARS 108.813.000 - 149.620.000; Jornada completa

Descripción de la vacante

A cloud native services company is seeking a Senior Machine Learning Engineer to design and develop machine learning solutions on AWS. The role involves collaborating with a cross-functional team, requiring experience in MLOps, data processing, and building ML models. Competitive compensation is offered, along with a comprehensive benefits package and the potential for flexible PTO.

Servicios

Competitive compensation in USD

Flexible PTO

Paid exams and certifications

Peer bonus awards

Learning stipends

Formación

• Strong experience in building ML models for real world applications.
• Strong experience with AWS ML Services like SageMaker.
• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow.

Responsabilidades

• Work with a team to deliver machine learning solutions on AWS.
• Develop and implement ML models and MLOps.
• Participate in daily standup meetings.

Conocimientos

Building ML models for real world applications

AWS ML Services/SageMaker

MLOps tools (MLflow, Kubeflow, Airflow)

Advanced analytics (time series forecasting, inferential statistics)

Big data processing (Spark, Hadoop)

Data processing using Python/Pandas, PySpark, Scala, SQL

Model meta-data and hyperparameter tuning

Visualization tools (SageMaker, ggplot, matplotlib, seaborn)

IaC tools (CloudFormation, Amazon CDK, Terraform)

Excellent communication skills

Descripción del empleo

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, 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!

Your Mission

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.

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

• 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
• 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

We offer competitive compensation in USD and a comprehensive benefits package, including generous holidays and flexible PTO, paid exams and certifications, peer bonus awards, and equipment and learning stipends. The role may require up to 25% travel, depending on business needs.

Caylent is 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 legally protected characteristics. If you would like to request an accommodation due to a disability, please contact [e-mail]. Note: We’re unable to provide visa sponsorship now or at any time in the future.

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. We may use AI tools or automated systems to assist with screening and evaluating applications to help match candidate qualifications with job requirements. Final hiring decisions are always made by our trained recruitment professionals. If an AI tool is used, your information will be handled securely and confidentially. For questions, please contact [e-mail].

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