> Markdown version of [/jobs/ext/4581681-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4581681-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** TekWissen LLC - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Standard Sql, Software Engineering, SQL Databases, Unstructured Data, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Docker, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.adzuna.com/details/5953645561 ## About the Role * 5+ years of experience in AI/ML engineering or related software development. * Strong programming experience in Python. * Hands-on experience with Machine Learning algorithms and statistical modeling. * Experience with TensorFlow, PyTorch, or Scikit-learn. * Experience with Generative AI, LLMs, and prompt engineering. * Knowledge of LangChain, LangGraph, or similar frameworks. * Experience with RAG, embeddings, and vector databases. * Strong SQL and database knowledge. * Experience developing REST APIs and microservices. * Cloud experience with AWS, Azure, or GCP. * Knowledge of Docker, Kubernetes, Git, and CI/CD pipelines., * Financial services or banking domain experience. * Experience with fraud detection, risk modeling, or financial data analytics. * Knowledge of model governance, explainability, and responsible AI. * Experience with MLflow, Kubeflow, or similar MLOps platforms. * Experience with enterprise-scale AI deployments., * Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. ## Description Work Type: Hybrid / Onsite, depending on team requirements Experience: 5 8+ Years Job Description: Job Summary * Client is seeking an experienced AI/ML Engineer to design, develop, implement, and deploy advanced Artificial Intelligence and Machine Learning solutions across financial services platforms. * The ideal candidate will have strong expertise in Python, machine learning algorithms, Generative AI, Large Language Models (LLMs), and cloud-based AI solutions. * The candidate will work with technology, data science, and business teams to develop intelligent applications supporting financial analytics, risk management, fraud detection, investment research, and automation. Key Responsibilities * Design, develop, and deploy machine learning models for enterprise financial applications. * Develop AI/ML solutions using Python, TensorFlow, PyTorch, and Scikit-learn. * Build and integrate Generative AI applications using Large Language Models (LLMs). * Implement Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering. * Develop predictive models for financial risk analysis, fraud detection, and business forecasting. * Build scalable REST APIs and integrate AI models with enterprise applications. * Implement MLOps pipelines for model training, deployment, monitoring, and performance optimization. * Work with structured and unstructured datasets using SQL and Python. * Collaborate with software engineers, data scientists, product managers, and business stakeholders. * Ensure AI solutions meet enterprise security, data privacy, governance, and compliance requirements.