AI Data Scientist

Data Scientist/AI Engineer Location: Remote Core Responsibilities • Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes. • Translate complex software architecture problems into high-level AI and analytics solutions. • Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders. • Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models. • Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL. • Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases. • Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role. Technical Skills • Proficiency in Python, R, and SQL for data preparation, querying and model development. • Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively. • Hands-on experience with Google Cloud Platform Vertex AI, BigQuery, TensorFlow, PyTorch. • Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL. Professional Skills • Strong analytical skills with attention to detail and a rigorous problem-solving approach. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Apply tot his job