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The company is looking to leverage GenAI/ML modeling with complex datasets to solve analytical problems.

Requirements

• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML
• Supervised/unsupervised learning
• Deep learning, reinforcement learning, federated learning
• Time series analysis, optimization, Generative AI
• Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Strong Python coding (functions, classes); production-ready software development

Responsibilities

• Hands-on GenAI/ML modeling with complex datasets
• Experience developing and deploying code in agile, AI product-focused teams
• Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Strong Python coding (functions, classes); production-ready software development
• Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs

Other

• PhD with 2+ years analytical experience OR Master's with 4+ years analytical experience
• Excellent communication, data visualization, and storytelling skills
• Skilled in simplifying technical concepts for business stakeholders
• Team-oriented with ability to manage multiple priorities in fast-paced environments
• Experience in life sciences or healthcare