Data Scientist II

The Fountain Group is a national staffing firm and we are currently seeking a Machine Learning / AI Engineer (IT) for a prominent client of ours. This position is Fully Remote. Details for the position are as follows: Machine Learning / AI Engineer (Bioinformatics) Pay: $57-$61/hour Duration: 6 months to start (extensions based on performance and business need) Location: Fully Remote The Opportunity We are seeking a highly skilled Machine Learning / AI Engineer to support the design, development, and deployment of advanced AI solutions across enterprise systems. This role emphasizes hands-on deep learning and ML engineering, with a strong focus on Python-based frameworks (PyTorch/TensorFlow), model integration, and production deployment. While exposure to biological or scientific data is a plus, this position is not a pure bioinformatics role. Candidates must demonstrate applied machine learning experience beyond academic or theoretical work. Key Responsibilities • Collaborate with cross-functional teams to design, develop, and deploy AI/ML models aligned with business and technical requirements. • Internalize and integrate external AI programs into internal systems, ensuring scalability, performance, and compatibility. • Develop, train, optimize, and maintain deep learning models using Python, PyTorch, TensorFlow, and related frameworks. • Research, implement, and adapt Graph Neural Network (GNN) models, including applications involving knowledge graphs and network-based data. • Apply literature- and data-driven network integration techniques to infer and model complex relationships. • Support troubleshooting, optimization, and iteration of deployed AI solutions to improve performance and reliability. • Contribute to best practices for ML model deployment, versioning, and lifecycle management. Required Qualifications • PhD in Computational Science, Computer Science, Data Science, or a closely related field (recent and upcoming graduates welcome). • Strong Python programming skills with hands-on experience using PyTorch and/or TensorFlow. • Demonstrated understanding of deep learning architectures with applied experience deploying ML/AI solutions(academic-only experience is not sufficient on its own). • Familiarity with Graph Neural Networks, transformers, and/or sequential data modeling. • Strong analytical, problem-solving, and debugging skills. • Ability to work independently while collaborating effectively within a cross-functional team. Preferred / Nice-to-Have Skills • Experience applying state-of-the-art AI methods to complex or large-scale datasets. • Exposure to cloud environments (AWS, GCP, Azure) and ML deployment pipelines. • Familiarity with additional AI frameworks or models such as BERT, LLaMA, or similar. • Experience working with biological or multi-omics data is a plus, but not required. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy