Mid-Level AI Analyst
C
CI&TArtificial intelligence
Listing location: Brazil; Workplace type: Remote; Structured job location: BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Ingl ês avançado.
- Required Skills
- AWSMachine LearningData engineeringRESTful APIsGenerative AI
Requirements
- Completed higher education in Computer Science, Engineering, Statistics, Information Systems, or a related field.
- Practical experience with cloud computing, especially AWS.
- Experience evaluating, testing, or implementing AI solutions.
- Practical knowledge or experience with machine learning, LLMs, and generative AI.
- Experience or participation in planning and executing proofs of concept.
- Knowledge of transitioning AI solutions from experimental environments to production environments.
- Knowledge of systems architecture and application integration through APIs.
- Basic or intermediate knowledge of data engineering.
- Familiarity with AI governance, information security, and data privacy, including LGPD.
- Advanced English.
- Preferred: postgraduate study, specialization, or certifications in AI, data science, or cloud computing.
- Preferred: familiarity with MLOps tools and model deployment pipelines, prompt engineering, RAG, fine-tuning, AI solution monitoring and optimization, and responsible AI, governance, and security practices.
Responsibilities
- Evaluate AI tools and solutions, including generative AI, for technical feasibility, cost, risk, and business fit.
- Support the planning, execution, and documentation of proofs of concept, including success criteria and results analysis.
- Collaborate on implementing AI solutions and transitioning them to production environments.
- Support integration design, technical requirements gathering, and solution documentation.
- Apply security, privacy, compliance, and responsible AI practices, including LGPD requirements and internal guidelines.
- Help document guidelines, good practices, and learnings related to developing and using AI solutions.
- Partner with Technology, Information Security, Legal, Data, and Business teams to identify and enable AI initiatives.
- Monitor the performance and results of implemented solutions and identify opportunities for continuous improvement.
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