Data Scientist with AI

Devapo is a software development company specializing in complex strategic projects. They develop custom software solutions that boost ROI, from initial idea through maintenance and testing. Their services include smart process automation, custom software development, legacy system modernization, IT project outsourcing, and product design. Devapo uses modern technologies and agile methodologies to ensure quality, transparency, and customer satisfaction.

• Minimum 4+ years of experience in Data Science or a similar role, with at least 1+ year of hands-on experience in Generative AI/LLMs.
• Strong programming proficiency in Python (including libraries like PyTorch, TensorFlow, or scikit-learn).
• Hands-on experience with one or more major cloud AI platforms: Azure OpenAI, GCP Vertex AI, or AWS Bedrock/SageMaker.
• Deep understanding of LLMs, embeddings, vector databases, and RAG architectures.
• Proficiency in SQL and experience working with large, complex datasets in cloud environments.
• Solid foundation in statistics, probability, and experimental design (A/B testing).
• Familiarity with containerization (Docker) and orchestration (Kubernetes/MLOps tools) for deploying models at scale.
• Excellent communication skills in English (minimum B2 level) and the ability to effectively collaborate with technical and business stakeholders.
• Knowledge of Google Analytics and AI.

• Lead end-to-end projects in traditional Data Science, Machine Learning, and cutting-edge Generative AI and Large Language Models (LLMs) from research and experimentation to production deployment.
• Design and implement scalable AI/ML pipelines and MLOps practices using cloud-native services (e.g., Azure Machine Learning, GCP Vertex AI, AWS SageMaker).
• Develop, optimize, and evaluate LLM-based applications, including RAG (Retrieval-Augmented Generation) systems, leveraging vector stores and prompt orchestration.
• Collaborate with Data Engineers and BI teams to ensure access to high-quality, well-structured data for model training and inference.
• Apply advanced statistical analysis, experimentation (A/B testing, causal inference), and modeling techniques to solve complex business problems.
• Contribute to defining AI roadmaps, ensuring solutions align with business objectives, and driving measurable impact (e.g., cost reduction, performance optimization).
• Ensure adherence to AI governance, security, and data compliance standards within regulated environments.