Data scientist role focusing on GenAI at Fidelity. Leading machine learning projects and collaborating with business and technology partners to deliver impactful solutions.
About the role
- AI Engineer implementing AI solutions integrating services like Azure AI at Symplifyr. Collaborating with technical and business teams on practical, robust AI-driven solutions.
Responsibilities
- Participate in the implementation of Artificial Intelligence solutions in client contexts, integrating services such as Azure AI and other AI agent platforms.
- Support the analysis of business needs, collaborating with consultants and technical teams to define AI-based solutions.
- Adapt and configure existing AI models and services to address concrete use cases (process automation, classification, extraction, analysis, decision support).
- Integrate AI solutions with enterprise systems and client applications (via APIs, cloud services and automation tools).
- Support the creation and maintenance of data pipelines, ensuring data quality, availability and traceability.
- Contribute to testing and validation of implemented solutions, ensuring robustness and reliability.
- Document technical solutions and support knowledge transfer to client teams and internal teams.
- Work closely with multidisciplinary teams (consulting, engineering, product), ensuring alignment between business objectives and technical implementation.
- Keep up with trends and best practices in Artificial Intelligence, contributing to the evolution of the company’s service offering.
Requirements
- Degree in IT, Engineering, Information Systems, Artificial Intelligence or related fields
- Experience integrating AI models across multiple platforms, including Azure AI.
- Ability to analyze and select AI models with the best cost-effectiveness, considering scalability, performance and application context
- Advanced knowledge of Python, R, SQL and machine learning tools
- Experience with various AI platforms and cognitive services.
- Experience with agile methodologies and DevOps practices.
- Good communication skills and fluency in English
- Autonomous profile, with a collaborative mindset and willingness to learn and teach
- Enjoys the consultant role: solving problems, listening to clients, proposing improvements
Benefits
- Collaborative, informal work environment with real autonomy
- Hybrid working model
- Participation in projects with direct impact on large companies and leading institutions
- Real opportunities for professional growth and continuous learning
- Access to training and an active knowledge-sharing culture across teams
- Health insurance included
- Performance- and contribution-based incentive plan
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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