AI/ML Engineer
Role Overview
Develop advanced AI/ML solutions that improve health outcomes and enterprise products.
Build scalable AI-powered applications from business needs using no-code, low-code, and advanced platforms.
Key Skills for This Role
Full Job Posting
Role Overview
Develop advanced AI/ML solutions that improve health outcomes and enterprise products.
Build scalable AI-powered applications from business needs using no-code, low-code, and advanced platforms.
Primary Responsibilities
- Design autonomous agentic systems that can reason, plan, and interact with complex environments.
- Prototype and refine algorithms to improve performance, scalability, and interpretability.
- Translate theoretical AI advances into practical enterprise applications with cross-functional teams.
- Conduct experimentation and benchmarking to evaluate model efficacy and robustness.
- Incorporate fairness, transparency, and accountability into AI model design.
- Optimize training pipelines and infrastructure for large-scale deployment and continuous learning.
- Integrate AI solutions into production systems with data engineering and product teams.
- Publish findings, contribute to open-source initiatives, and stay current with AI research trends.
Required Qualifications
- Undergraduate degree or equivalent experience.
- 5+ years of software development experience and 2+ years delivering AI/ML solutions.
- Hands-on experience with Azure Functions, Azure Monitor, and Application Insights.
- Experience with cloud AI and data services including Python, Databricks, RAG, agentic AI, AI Foundry, and LangFuse.
- Experience with GitHub, M365 Copilot, and deep learning frameworks including PyTorch, TensorFlow, or Scikit-learn.
- Experience with React or Angular frontend development and Java or .NET backend services.
- Extensive experience implementing generative AI solutions through OpenAI-compatible APIs.
- Knowledge of enterprise search, NLP, speech AI, vision AI, and supervised and unsupervised ML.
- Understanding of RAG architecture, vector databases, and semantic search.
- Expertise in Azure Document Intelligence, OCR, Databricks, Azure OpenAI, LLM Gateway, and RAG.
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