ML Ops Engineer with statistical modeling and predictive analytics

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,

What We Do You'll be responsible for designing, building, and deploying applied machine learning solutions including deep learning transformer-based models for Natural Language Processing and Computer Vision, as well as traditional shallow learning models. The role focuses on developing scalable ML systems that deliver measurable business outcomes and drive value across the organization. WHAT YOU'LL DO: Design, build, fine-tune, and deploy state-of-the-art machine learning and large language mo

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

Solution IT Inc. is looking for AI Engineer for one of its clients Toronto, Canada (Remote) Job Title: AI Engineer Summary We're hiring an AI Engineer to build, fine-tune, and deploy machine learning and LLM-powered applications. You'll work hands-on with models, data pipelines, and production systems to bring AI features into real products. Responsibilities: Build and deploy ML/AI models and AI-powered features Fine-tune, evaluate, and optimize models (including LLMs) Develop inference pipe