Senior GenAI Analyst

Summary

Join NTT DATA as a Senior GenAI Analyst and work remotely with our global client, preferably from Mexico, Colombia, Argentina, Chile, Brazil, or Peru. Lead discovery sessions with business stakeholders to identify AI-driven solutions. Design and implement GenAI models using platforms like OpenAI and Gemini. Develop and fine-tune AI models using Python and various frameworks. Ensure model robustness by validating, deploying, and monitoring performance. Optimize data workflows with strong SQL expertise. Leverage Microsoft Azure tools for scalable AI solutions. Apply advanced machine learning techniques. Implement CI/CD practices and containerized solutions. Communicate findings clearly in English.

Requirements

• 4+ years of experience identifying use cases and designing GenAI solutions
• Must be bilingual in English and Spanish
• Hands-on experience developing and fine-tuning GenAI models, including Retrieval-Augmented Generation (RAG), NLP-to-SQL models, LangChain, and Hugging Face
• Demonstrated experience in building real-world solutions such as conversational assistants using platforms like OpenAI and Gemini
• Proven ability to lead discovery sessions with business users and the technical expertise to model and implement the identified use cases
• Proficiency in Python and core libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, and PyTorch
• Proven experience in building, validating, deploying, and monitoring predictive models and algorithms
• Strong SQL skills and experience working with databases, complex queries, data manipulation, and integration tasks
• Proficiency with the Microsoft Azure stack, including Azure Databricks, Azure Data Factory, and Synapse Analytics
• Expertise in applying advanced machine learning and statistical techniques, including regression, classification, clustering, dimensionality reduction, and model validation methods
• Experience with CI/CD pipelines and containerization technologies such as Docker and Kubernetes

Responsibilities

• Lead discovery sessions with business stakeholders to identify AI-driven solutions and use cases
• Design and implement GenAI models, including Retrieval-Augmented Generation (RAG), NLP-to-SQL, and conversational assistants using platforms like OpenAI and Gemini
• Develop and fine-tune AI models using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Ensure robustness of predictive models by validating, deploying, and monitoring performance in real-world applications
• Optimize data workflows with strong SQL expertise, managing complex queries, database integration, and data manipulation
• Leverage Microsoft Azure tools (Databricks, Data Factory, Synapse Analytics) for scalable AI solutions and model deployment
• Apply advanced machine learning techniques including classification, regression, clustering, and dimensionality reduction
• Implement CI/CD practices and containerized solutions using Docker and Kubernetes (preferred)
• Communicate findings and strategies in English, ensuring clarity in technical and business discussions

Benefits

• Empowerment and rewards are the cornerstone of our career development model
• We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched