Artificial Intelligence Consultant
Staffing Technologies - Atlanta, GA
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The AI/ML Developer will leverage Mathematical Programming and AI/DL Algorithms and Technologies to drive research and development, addressing complex business challenges. This role focuses on utilizing cutting-edge methodologies and technologies to create solutions. Focuses on designing, developing, and implementing machine learning models and AI applications to solve business problems. Here are some key responsibilities:Designing and Developing ModelsCreating machine learning and deep learning models to address specific business needs.Data AnalysisAnalyzing large datasets to extract meaningful insights and improve model performance.Algorithm ImplementationImplementing AI/ML algorithms to solve complex problems.CollaborationWorking closely with cross-functional teams to integrate AI solutions into existing systems.Model Testing and ValidationRunning experiments to test the effectiveness of models and making necessary adjustments.Automation: Identifying repetitive tasks and developing automated solutions to increase efficiency.Qualifications:Educational Background:Preferred Master's or Ph.D. in Science and Engineering disciplines such as Mathematics, Physics, Economics, Computer Science, or related fields with a focus on AI/ML.Business Problem Solving:Expertise in defining business problems with mathematics including, but not limited to, risk and cost management, price and revenue optimization, sales/operational process mining and simulation, and time series forecasting.AI/ML Technology Proficiency:Hands-on experience with advanced AI/ML tools and frameworks like Sciki-Learn, TensorFlow, Keras, PyTorch, RAG, Langchain, LlamaIndex, Neo4j, and expertise in NLP, LM, CV techniques.Programming Skills:Proficient in programming languages and platforms like Python, PySpark, Scala, C++, CUDA, SQL/NoSQL/Vector DB.Algorithm Expertise:Strong knowledge of AI/ML algorithms including Bayesian Inference, XGBoost, CNNs, RNNs, GNNs, KG, Generative Modeling, RAG.DevOps and Cloud Tools:Familliar with platforms and tools like Docker, Kubernetes, GitHub Actions, Terraform, GPU (CUDA/Nemo/NIM), Azure (Azure ML, Azure AI, Databricks).
Created: 2024-11-07