Application Developer

Saicon Consultants - Atlanta, GA

Full-time - Mid Level

Remote - Atlanta, GA

Professional, Scientific, and Technical Services

About the position

The Application Developer role focuses on leveraging advanced AI and machine learning techniques to solve complex business problems. This position requires a strong foundation in AI/ML algorithms and proficiency in various programming languages and tools. The developer will collaborate with cross-functional teams to create innovative solutions that enhance business processes and decision-making.

Responsibilities

• Leverage mathematical programming and AI/deep learning algorithms to drive research and development efforts.
• Address complex business challenges by creating innovative solutions that utilize cutting-edge methodologies and technologies.
• Collaborate with cross-functional teams to define business problems and translate them into mathematical models for analysis and solution development.
• Implement and optimize AI/ML algorithms to enhance business processes and decision-making.
• Develop and maintain applications that support AI/ML initiatives, ensuring robust performance and scalability.
• Utilize DevOps practices to streamline deployment processes and improve system reliability.
• Stay updated with the latest advancements in AI/ML technologies and methodologies to continuously enhance solution offerings.

Requirements

• Strong foundation in AI/ML with a specialized focus on algorithms and applied machine learning.
• Expertise in defining business problems using mathematical approaches, including risk and cost management, price and revenue optimization, sales/operational process mining and simulation, and time series forecasting.
• Hands-on experience with advanced AI/ML tools and frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch, RAG, Langchain, LlamaIndex, Neo4j, and expertise in Natural Language Processing (NLP), Language Models (LM), and Computer Vision (CV) techniques.
• Proficient in programming languages and platforms including Python, PySpark, Scala, C++, CUDA, SQL/NoSQL/Vector DB.
• Strong knowledge of AI/ML algorithms including Bayesian Inference, XGBoost, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), Knowledge Graphs (KG), Generative Modeling, and RAG.
• Familiarity with platforms and tools such as Docker, Kubernetes, GitHub Actions, Terraform, GPU (CUDA/Nemo/NIM), and Azure (Azure ML, Azure AI, Databricks).