Machine Learning Engineer (MLOps / Production ML)

Datascience/ ML Engineer NYC, NY Contract Skillset: "Python, TensorFlow, PyTorch, Docker, REST APIs" Data science prototypes into production-grade ML services and pipelines. - Build training and inference code with reproducibility, versioning, and automated testing. - Implement scalable model serving (online/offline), batching, and latency/throughput optimization. - Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring). - Collaborate with Data Engineering on

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,

Location: Jersey City, NJ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description: Senior Machine Learning Engineer / AI Engineer About the Role We are seeking a Senior Machine Learning Engineer to lead the design, development, and production deployment of advanced AI and machine learning solutions. In this role, you will work across engineering, product, and data teams to solve complex business problems, advance modern ML practices, and ensure responsible and scalable AI systems. You wil

RESPONSIBILITIES: Kforce has a client that is seeking a Principal Software Engineer in Jersey City, NJ. Key Tasks: * Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units * Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production * Enable secure, scalable access to traditional