Data & AI Engineer - Build Production ML & Data Platforms

Strivanta Technologies; United States; Remoto; USD 120.000 - 170.000; Tempo pieno

Descrizione del lavoro

Strivanta Technologies is seeking a Data & AI Engineer to design and build data pipelines, analytics foundations, and AI-enabled applications. The role spans data engineering, applied AI, and production readiness, helping teams move from experiments to reliable systems.

You’ll work on data pipelines, AI services, evaluation workflows, and monitoring, collaborating with engineers and stakeholders to translate use cases into practical implementations while improving reproducibility and security.

Competenze

• Proficiency in Python and software engineering for data systems.
• Experience with structured or unstructured data and data pipelines.
• Ability to evaluate trade-offs and communicate clearly with stakeholders.

Mansioni

• Design and implement reliable data pipelines and transformations.
• Build services and applications that leverage ML or generative AI capabilities.
• Contribute to data platform and AI architecture decisions.
• Develop evaluation, monitoring, and quality practices for AI-enabled systems.
• Collaborate with engineers and stakeholders to translate use cases into practical implementations.
• Improve reproducibility, maintainability, and deployment of data and AI workloads.

Conoscenze

Python

Data pipelines

Data processing

Software engineering

Communication

Formazione

Bachelor's degree in CS or related field

Strumenti

Cloud data platforms

Descrizione del lavoro

Strivanta Technologies is seeking a Data & AI Engineer to design and build data pipelines, analytics foundations, and AI-enabled applications. The role spans data engineering, applied AI, and production readiness, helping teams move from experiments to reliable systems.

You’ll work on data pipelines, AI services, evaluation workflows, and monitoring, collaborating with engineers and stakeholders to translate use cases into practical implementations while improving reproducibility and security.