Machine Learning Network Software Engineer

Our client is seeking a high-level Machine Learning Network Software Engineer to strategically design and replicate ML network infrastructures that support translational research and enterprise operations. This role is central to analyzing the parent organization's existing ML networks and building a comparable, scalable ML network for a separate business unit, ensuring a seamless technology transition and reliable integration. The ideal candidate combines advanced expertise in machine learning, network engineering, and software development with experience in healthcare and life sciences data ecosystems.

This consultant will evaluate the existing ML ecosystem, identify dependencies, and architect a scalable, secure, and compliant ML platform for the new business unit. The ideal candidate brings deep expertise in machine learning infrastructure, cloud networking, MLOps, and large-scale enterprise transformation initiatives.

Hybrid: Onsite 2 days/week
Location Options: Raynham, MA; West Chester, PA; Palm Beach Gardens, FL; Warsaw, IN
Contract: Long term contract up to 2+ years
Rate: $80-$100/hr (C2C, 1099, W2 w/benefits)

Key Responsibilities

• Assess and document the parent organization's current ML platforms, network architecture, data pipelines, and operational processes
• Develop a migration strategy and future-state architecture for a standalone ML environment for the new business unit
• Design and implement ML infrastructure, MLOps pipelines, networking, and cloud-based platforms
• Lead separation and migration activities, including dependency mapping, risk mitigation, and cutover planning
• Establish governance, security, monitoring, and compliance frameworks aligned with healthcare and medical device regulations
• Collaborate with Data Science, Infrastructure, Security, Enterprise Architecture, and business stakeholders globally

Required Qualifications

• 10+ years of software engineering, infrastructure engineering, or enterprise architecture experience
• 5+ years designing and supporting enterprise ML platforms and MLOps environments
• Proven experience leading technology carve-outs, mergers, or large-scale platform migrations
• Expertise with cloud platforms (AWS, Azure, and/or GCP), Kubernetes, Docker, Terraform, CI/CD, and Infrastructure as Code
• Strong programming skills in Python and experience with distributed data and ML systems
• Excellent stakeholder management and executive communication skills

Preferred Qualifications

• Experience in healthcare, life sciences, pharmaceuticals, or medical devices
• Knowledge of ML platforms such as Databricks, Azure ML, SageMaker, Kubeflow, or MLflow
• Familiarity with FDA, HIPAA, GDPR, and regulated environment requirements

Deliverables

• Current-state assessment of the parent organization's ML ecosystem
• Future-state architecture and transition roadmap
• Standalone ML network and platform environment for the new business unit
• Successful migration of critical ML workloads and operational processes
• Security, governance, and support framework enabling long-term scalability and independence

Impellam Group and its brands are equal-opportunity employers committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, pregnancy or maternity, national origin, age, disability, veteran status, or any other factor determined to be unlawful under applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application, interview process, pre-employment activity, and the performance of crucial job functions.

If you require additional disability considerations, modifications, or adjustments please let us know by contacting HR-InfoImpellamNA@impellam.com or fill out this form to request accommodations.