phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services

Information Technology

251-1K (443)

37 open positions

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Senior Machine Learning Engineer

1 month, 1 week ago

Latin America

Full-time

Senior

Machine Learning Engineer

Software Development

Apache Spark AWS Azure Databricks Django Docker Elasticsearch Flask GCP Impala Java Kafka Keras Kubernetes Linux MLflow MySQL Oracle Pandas Python SageMaker SAP Scala Scikit-learn Snowflake Solr Spring SQL TensorFlow

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phData

IT Services

251-1K

View All Jobs 37

Description

Design and create environments that enable data scientists to build models and manipulate data.
Extract data from customer systems and place it into analytical environments.
Learn and understand customer technology environments and systems.
Define deployment approaches and infrastructure for machine learning models.
Work with data scientists to transform data into deployable formats for actionable machine learning models.
Partner with data scientists to ensure solutions are deployable at scale and maintainable throughout their lifecycle.
Create operational testing strategies and validate models through QA, implementation, testing, and deployment.
Ensure the quality of delivered products.

Requirements

At least 4 years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.
A 4-year bachelor’s degree in Computer Engineering or a related field.
Experience deploying data science models in a production setting.
Expertise in Python, Scala, Java, or another modern programming language.
Ability to build and operate robust data pipelines across multiple data sources, programming languages, and toolsets.
Strong working knowledge of SQL, including writing, debugging, and optimizing distributed SQL queries.
Experience with machine learning libraries and tools such as h2o, TensorFlow, Keras, or scikit-learn.
Experience with Docker, Kubernetes, or another containerization technology.
Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, DWH, MySQL, Oracle, or SAP.
Systems-level knowledge of network/cloud architecture, operating systems such as Linux, and storage platforms such as AWS, Databricks, or Cloudera.
Production experience with core data technologies such as Spark or Pandas.
Experience developing APIs and web server applications such as Flask, Django, or Spring.
Full software development lifecycle experience, including design, documentation, implementation, testing, and deployment.
Strong analytical ability and the ability to translate business requirements and use cases into solutions.
Excellent communication and presentation skills, with previous experience working with internal or external customers.
A master’s or other advanced degree in data science or a related field is preferred.
Hands-on experience with ecosystem technologies such as HBase, Impala, Solr, Kudu, Streamsets, NiFi, ElasticSearch, Databricks, Snowflake, or AWS/Azure/GCP is preferred.
Relevant side projects, such as open source contributions, are preferred.
Experience with AWS SageMaker and MLflow is preferred.

Benefits

Remote-first work environment.
Competitive compensation.
Excellent benefits.
Generous PTO plus 10 holidays.
Collaborative culture that prizes autonomy, creativity, and transparency.
Accelerated learning and professional development through advanced training and certifications.

Interested in this position?

Apply directly on the company website

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