ESI RPA Core Team 169975

We're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact. Key Responsibilities Design and deploy predictive models and Generative AI solutions in production Conduct data analysis to identify business insights and trends Build real-time ML systems with MLOps best practices Implement LLMs, prompt engineering, and RAG systems Mentor junior team members and collaborate with stakeholders Create visualizations and reports for technical and business audiences Required Skills Technical Requirements Experience: 5+ years in data science with production ML deployment Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn) Databases: MongoDB and other NoSQL databases Big Data: Apache Spark, Databricks MLOps: Model deployment, monitoring, CI/CD pipelines GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI Frameworks: TensorFlow, PyTorch Education Master's degree in Data Science, Computer Science, Statistics, or related field Nice to Have Cloud platforms (AWS, Google Cloud, Azure) Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding Vector databases and embedding systems Containerization (Docker, Kubernetes) Data visualization tools (Tableau, Power BI) What You'll Bring Strong analytical and problem-solving skills Excellent communication abilities Collaborative mindset and mentoring experience Ability to work in fast-paced environments Passion for staying current with AI/ML trends ##LI-DNIWe're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact. Key Responsibilities Design and deploy predictive models and Generative AI solutions in production Conduct data analysis to identify business insights and trends Build real-time ML systems with MLOps best practices Implement LLMs, prompt engineering, and RAG systems Mentor junior team members and collaborate with stakeholders Create visualizations and reports for technical and business audiences Required Skills Technical Requirements Experience: 5+ years in data science with production ML deployment Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn) Databases: MongoDB and other NoSQL databases Big Data: Apache Spark, Databricks MLOps: Model deployment, monitoring, CI/CD pipelines GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI Frameworks: TensorFlow, PyTorch Education Master's degree in Data Science, Computer Science, Statistics, or related field Nice to Have Cloud platforms (AWS, Google Cloud, Azure) Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding Vector databases and embedding systems Containerization (Docker, Kubernetes) Data visualization tools (Tableau, Power BI) What You'll Bring Strong analytical and problem-solving skills Excellent communication abilities Collaborative mindset and mentoring experience Ability to work in fast-paced environments Passion for staying current with AI/ML trends