Machine Learning / AI Engineer (IT)

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.

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