Note: The job is a remote job and is open to candidates in USA. Cherry Bekaert is partnering with a rapidly growing global data and analytics organization undergoing a major AI transformation initiative across its business and product ecosystem. The organization is seeking a Senior Data Scientist to design, build, and deploy production-grade AI and machine learning solutions for enterprise and client-facing applications in the healthcare space.
Responsibilities
- Design and develop AI/ML solutions for large-scale enterprise applications
- Build and deploy production-ready machine learning and Generative AI systems
- Collaborate closely with engineering, product, and business stakeholders
- Apply advanced analytical and problem-solving skills to ambiguous business challenges
- Develop scalable Python-based AI/ML applications and services
- Evaluate and implement modern AI techniques including LLMs, RAG pipelines, and agentic workflows
- Contribute to system architecture, experimentation, and model optimization
- Mentor junior team members and contribute to technical best practices
- Stay current with evolving AI technologies and frameworks
Skills
- 5+ years of hands-on experience developing AI/ML solutions in production environments
- Strong Python programming skills with experience across modern AI/ML frameworks (pandas, scikit-learn, LangChain, NLP/Deep Learning frameworks)
- Experience with LLMs, Generative AI, RAG architectures, prompt engineering, and agentic AI systems
- Strong foundation in machine learning, algorithms, system design, and scalable software development
- Excellent analytical problem-solving, communication, and stakeholder partnership skills within cross-functional environments
- All candidates must be authorized to work in the United States. The client does not provide visa sponsorship or transfers. They also are not currently accepting candidates who are on an OPT visa
- Experience building enterprise-scale AI/ML products or platforms
- Background within healthcare, pharma, or life sciences environments
- Exposure to AWS technologies including Bedrock, SageMaker, ECS, and serverless architectures
- Experience with knowledge graphs, advanced NLP, or recommendation systems
- Experience operating within startup and/or enterprise environments
- Advanced STEM degree preferred (Computer Science, AI, Statistics, Engineering, etc.)
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