16 ago
|
Importante empresa del sector
|
Ciudad de Buenos Aires
16 ago
Importante empresa del sector
Ciudad de Buenos Aires
Responsibilities
- Apply your knowledge of AI systems and software engineering to develop solutions that solve real business problems.
- Collaborate closely with Data Science and Data Engineering professionals to address technical challenges and ensure the use of best practices in Data & AI.
- Contribute to the development and optimization of applied AI components, focusing on performance and scalability.
- Work with generative AI models, including LLMs, to design prompts and solutions tailored to specific use cases.
- Help implement AI solutions while following industry best practices for moderation, security, monitoring, and compliance.
- Apply principles of Responsible AI across all stages of the solution lifecycle.
- Support the design and measurement of model outputs, assisting in the development of standard and custom evaluation metrics to align with business objectives.
- Help translate AI research and proof-of-concepts (PoCs) into production-ready features that integrate into larger systems.
- Assist in selecting and applying appropriate evaluation metrics to ensure robustness and fairness in AI solutions.
- Analyze unstructured data (such as text, audio, and images) to extract patterns and generate actionable insights that align with business objectives.
Requirements
- Hands-on experience in applied AI, with a strong foundation in machine learning, NLP, LLMs, and statistical analysis.
- Understanding of different generative AI models and their trade-offs for various use cases.
- Experience with embeddings and vector databases,
with the ability to evaluate and apply them for optimized data ingestion and retrieval.
- Proven experience in building AI-driven features that integrate with traditional software systems.
- Experience developing APIs and working with backend/orchestration platforms.
- Proficiency in Python and familiarity with relevant AI/ML libraries and frameworks.
Ability to craft and refine prompts for different AI applications.
- Knowledge of AI system testing and evaluation using up-to-date methodologies and industry best practices.
- Experience working with cloud platforms and AI tools such as AWS Bedrock, Azure AI Services, or Google Vertex AI.
- Strong collaboration skills and ability to work effectively with cross-functional teams.
- Clear and effective communication skills for both technical and non-technical stakeholders.