Machine Learning / Deep Learning Engineer

Responsibilities Kforce has a client that is seeking a Machine Learning/Deep Learning Engineer in Kennett Square, PA. Roles and Responsibilities: Deep Learning & Neural Networks: • Design and implement deep learning models using TensorFlow, PyTorch, and transformer architectures • Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets • Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference • Develop LLMOps context aware pipelines for chat applications using python frameworks • Collaborate with data scientists and product teams to integrate models into production systems API Development & Integration: • Develop and maintain RESTful and gRPC APIs for model serving and data access • Manage the full API lifecycle, including versioning, documentation, and security • Integrate APIs with internal and external applications using FastAPI or similar Python frameworks Azure Cloud Engineering • Create and manage Azure Container Apps, Container Registries, and Docker images • Deploy and monitor Azure Web Apps for hosting AI services and dashboards • Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates Requirements • 5+ years of experience in Python development with a focus on deep learning • Hands-on experience with transformers, Hugging Face, and custom model training • Proven track record of deploying models on GPU-based infrastructure • Strong understanding of API design principles and microservices architecture • Experience with Azure cloud services, Docker, and GitHub Actions • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment Preferred Qualifications • Experience with multi-modal models or generative AI applications • Familiarity with MLOps tools and practices • Contributions to open-source AI projects or publications in relevant fields The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.