phData · 14 hours ago
Senior Machine Learning Engineer
Latin America
Full-time
Onsite
Mid, Senior Level
4+ years expphData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. The Senior Machine Learning Engineer will design and create environments for data scientists, manage the deployment of machine learning models, and ensure the quality and performance of the delivered products.
AnalyticsInformation ServicesInformation Technology
Responsibilities
Design and create environments for data scientists to build models and manipulate data
Work within customer systems to extract data and place it within an analytical environment
Learn and understand customer technology environments and systems
Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product
Qualification
Required
At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
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
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc
Experience with Docker, Kubernetes, or some other containerization technology
Familiarity with multiple data source systems (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), storage systems (e.g., AWS, Databricks, Cloudera)
Production experience in core data technologies (e.g. Spark, Pandas)
Development of APIs and web server applications (e.g. Flask, Django, Spring)
Complete software development lifecycle experience including design, documentation, and analytical abilities; ability to translate business requirements and use cases into a solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics
Excellent communication and presentation skills; previous experience working with internal or external customers
Preferred
A Master's or other advanced degree in data science or a related field
Hands-on experience with one or more ecosystem technologies (e.g., HBase, Impala, Solr, Kudu, Streamsets, NiFi, ElasticSearch, Databricks, Snowflake, AWS/Azure/GCP)
Relevant side projects (e.g. contributions to an open source technology stack)
AWS Sagemaker, MLFlow experience
Benefits
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, generous PTO plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
Company
phData
phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting.
501-1000 employees
H1B Sponsorship
phData has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (13)
2023 (4)
2022 (16)
2021 (15)
2020 (9)
Funding
Current Stage
Late StageTotal Funding
$2.5M2024-12-16Acquired
2018-03-07Seed· $2.5M
Leadership Team
Adam Fokken
Principal Solutions Architect
Recent News
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2025-06-25
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