Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 201-500Since 2014H1B SponsorCompany SiteLinkedIn

Location

Latin America

Posted

63 days ago

Salary

0

Seniority

Senior

Job Description

Senior Machine Learning Engineer

phData

• 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

Job Requirements

  • 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.

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

Related Job Pages

More Machine Learning Engineer Jobs

Full TimeRemoteTeam 51-200H1B No Sponsor

• Design and build ELT pipelines for data processing and analysis. • Construct MLOps pipelines for automated retraining and validation of models. • Implement CI/CD pipelines for deploying models and ML services. • Create services for monitoring ML models in production.

Worldwide
Job Closed
Canva logo

Machine Learning Engineer Intern

Canva

Design anything. Publish anywhere.

InternshipRemoteTeam 1,001-5,000Since 2013H1B Sponsor

• Collaborating with your assigned team to design, develop, test and maintain your intern project • Developing and maintaining documentation for software development processes, procedures, and guidelines • Developing your craft with some of the most talented engineers • Interacting with a wide variety of stakeholders from both inside and outside your team to deliver high-quality work in a fast-paced environment.

Australia
Job Closed
Full TimeRemoteTeam 1,001-5,000Since 2013H1B Sponsor

• Research, develop and deploy AI based solutions to automate content moderation and review of Canva’s content • Work with diverse stakeholders to guide the technical vision while being responsible for break-down and delivery of large projects • Design, develop and deploy solutions and hands-on software development – working closely with leads, designers, and product managers • Foster an impactful and healthy team via a healthy code review culture, knowledge sharing, design showcases, and process improvements • Promote a safe and healthy culture with a focus on collaboration and open communication while advocating for engineering needs to non-technical stakeholders within the group • Staying updated on industry trends and best practices to innovate and improve the domain owned by the team.

Australia
Full TimeRemoteTeam 1,001-5,000Since 2013H1B Sponsor

• You’ll design and build scalable evaluation systems for machine learning models, including generative AI • You’ll collaborate with cross-functional teams to integrate evaluation into the ML lifecycle • You’ll improve experimentation velocity by enabling reliable and automated evaluation workflows • You’ll contribute to technical design discussions and help shape the team’s direction • You’ll identify opportunities to improve systems, tooling, and processes across the AI Platform • You’ll mentor peers and contribute to a strong engineering culture

Australia
Job Closed