Data Scientist Specialist / Applied AI-ML
Heredia
Posted 2d ago
Job Location
Heredia
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
Accenture is seeking a hands-on technical specialist to apply data science and AI/ML techniques to product and operational challenges within Agora. This role involves prototyping and productionizing data-driven capabilities, integrating them with enterprise applications and workflows, and ensuring their reliable operation in a cloud environment. You will be responsible for designing, prototyping, evaluating, and productionizing applied AI/ML capabilities, using Python for data preparation and analysis, and integrating models with enterprise systems via APIs. The role also includes defining acceptance criteria, monitoring solution performance, and collaborating with various teams to ensure successful delivery and adoption. A key aspect is contributing to reusable AI-assisted engineering practices and automation.
Responsibilities
- Design, prototype, evaluate, and productionize applied AI/ML capabilities for relevant use cases.
- Prepare, analyze, validate, and operationalize data-driven solutions using Python and data-processing techniques.
- Integrate models, decision logic, or intelligent services with APIs, applications, workflows, and enterprise systems.
- Define testable acceptance criteria and validation approaches for AI/ML-enabled capabilities.
- Monitor solution behavior, investigate data or performance issues, and improve reliability and observability.
- Collaborate with product, engineering, architecture, operations, and quality teams on delivery and adoption.
- Contribute to reusable AI-assisted engineering, automation, diagnostics, and development practices.
Requirements
- 2+ years of relevant experience in data science, applied AI/ML, analytics, machine-learning engineering, software engineering, or a closely related technical role.
- College degree, diploma, or equivalent post-secondary education in a quantitative/technical field such as Computer Science, Data Science, Software Engineering, Statistics, or Mathematics.
- Strong Python skills for data preparation, analysis, and development of machine-learning/AI techniques.
- Practical experience evaluating solution quality and integrating data-driven capabilities into applications, APIs, workflows, or cloud environments.
- Understanding of software engineering principles, testing, security, observability, and production support.
- Ability to independently own complex technical work and communicate findings and tradeoffs clearly.
Benefits
- Health and Life Insurance
- Internet reimbursement
- 3 additional vacation days
- Birthday leave
- On site doctor