About the Company
This global digital solutions company, based in Austin, Texas, has been creating innovative solutions since 1993. With a presence across the USA, Europe, APAC, and LATAM, the company works on over 2,000 projects, delivering bold ideas and transforming industries through cutting-edge technologies in Big Data, IoT, Data Science, and Experience Design.
About the Role
The Machine Learning Engineer will design and implement end-to-end ML solutions, create data pipelines, optimize models, and manage the infrastructure. This role involves collaborating with engineering and data science teams, guiding ML systems production, and setting up scalable monitoring for data pipelines and ML models. Candidates should have expertise in Python, AI/ML, data engineering tools, and cloud platforms, with experience in building and operationalizing ML solutions.
Key Responsibilities
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Design and implement ML end-to-end solutions and data pipelines.
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Collaborate with teams on ML systems’ production lifecycle and model operationalization.
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Set up infrastructure for scalable, secure ML solutions.
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Develop continuous integration, delivery, and testing pipelines for ML.
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Enhance and support ML software infrastructure, including cloud services, network security, and monitoring.
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Work with stakeholders to define use cases and requirements, and align teams on project expectations.
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Contribute to the development of AI solutions and integrate ML pipelines into business environments.
Required Qualifications
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Masterโs degree in Computer Science or related field.
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3+ years of relevant experience in ML, Python, and data science.
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Expertise in ML solutions design and operationalization.
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Experience with cloud platforms and tools for AI/ML, such as Kubeflow, MLflow, Apache Spark, and Hadoop.
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Strong knowledge of CI/CD/CT pipelines, Kubernetes, and container orchestration.
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Familiarity with workflow orchestration tools like Airflow.
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Upper-intermediate English level for communication with international teams.
Additional Skills
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Experience in designing and building feature stores.
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Proficient in managing scalable data pipelines and model monitoring.
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Strong in requirements gathering, estimation, and consulting.
Perks and Benefits
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Work with the latest technologies across multiple industries.
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Flexible schedule and remote work options.
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Access to strong educational and mentorship programs.
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Opportunity to participate in international events and gain certifications.
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Collaboration with leading global companies.