MACHINE LEARNING - Google Cloud Platform, VERTEX AI

RESPONSIBILITIES: Kforce has a client in Brooklyn, NY that is seeking a Senior Machine Learning Engineer to design and build scalable machine learning systems that power ad relevance, retrieval, and user engagement across digital platforms. Responsibilities: * Develop and productionize applied machine learning models to improve relevance and performance * Build and maintain scalable backend services and distributed data pipelines * Support the full ML lifecycle, including training, deployment,

AI Engineer (Remote) Location: Remote Experience: 3-8 Years (flexible) Role Overview We are looking for a skilled AI Engineer to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have hands-on experience in machine learning, deep learning, and modern AI frameworks, with a strong focus on delivering production-ready systems. Key Responsibilities Design and develop AI/ML models for real-world applications Build and deploy scalable machine learning pipelines Work with

Title: AI/ML Engineer Location: New Jersey, New York, Dallas, TX Onsite Duration: Long term Note: Looking consultant to work on company Payroll / W2 Basis only Required Skills & Qualifications: Strong programming skills in Python Hands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn Experience with Generative AI / LLMs (OpenAI, LangChain, vector databases) Knowledge of RAG architecture, embeddings, and prompt engineering Experience with cloud platforms (AWS, Azure, or G

Title: AI/ML Manager Location: Remote Duration: 6 months (possibility of extension) JD: We are seeking an Engineering AI/ML Manager who is a hands-on technical leader and will be responsible for delivering AI/ML solutions from design through productionwhile managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, and is ideal for a manager who still codes, reviews designs, and actively guides implementation. This role supports ente