Description

You will design, develop, and deploy machine learning and statistical models to solve business challenges, including Generative AI solutions using LLMs, RAG, and agentic workflows. You will analyze large-scale datasets, build interactive dashboards with Plotly Dash, and operationalize models in cloud environments.

Responsibilities

• Build and implement Generative AI applications using LLMs, prompt engineering, and RAG architectures.
• Develop interactive dashboards and analytical applications using Plotly Dash to support executive decision-making.
• Perform statistical analysis, hypothesis testing, and model validation to ensure analytical accuracy.
• Deploy machine learning models into AWS, Azure, or Google Cloud and collaborate with engineering teams for operationalization.
• Mentor junior data scientists and establish best practices for data science and AI development.

Required Skills

• Bachelor's degree in Data Science, Computer Science, Statistics, or a quantitative field (Master's/PhD preferred).
• 6+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics.
• Expert-level Python programming with strong experience in Pandas, NumPy, and PySpark.
• Advanced SQL skills for querying complex relational databases and data warehouses.
• Strong foundation in statistics, probability, experimental design, regression, classification, and clustering.
• Experience designing, training, and deploying production machine learning models.
• Hands-on experience building interactive dashboards using Plotly and Plotly Dash.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.

Preferred Skills

• Experience with LLM orchestration frameworks like LangChain or LlamaIndex, and vector databases.
• Knowledge of graph databases (Neo4j, Amazon Neptune) and graph analytics.
• Familiarity with MLOps, CI/CD pipelines, Docker, and Kubernetes.

Key Skills

Education

Bachelor's degree