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POSITION SUMMARY

The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner closely with data scientists, AI Technical Product Owners, and engineering teams to integrate machine learning capabilities into real business processes. The emphasis is on operational excellence, scalability, and long-term maintainability rather than research and experimentation.

ESSENTIAL FUNCTIONS

• Design and implement end to end machine learning pipelines that support data ingestion, feature generation, model training, validation, deployment, and monitoring.
• Operationalize models in coordination with data scientists and ensure they run reliably with requisite alerts and monitoring in production environments.
• Build reusable frameworks and patterns that reduce friction when deploying new models or updating existing ones.
• Ensure pipelines are secure, auditable, and appropriate for use in regulated enterprise environments.
• Own and evolve the MLOps toolchain that supports model versioning, artifact management, experiment tracking, and deployment workflows.
• Implement continuous integration and deployment practices for machine learning systems.
• Establish monitoring and alerting for model performance, data quality, drift, and system health.
• Partner with cloud and platform teams to manage compute resources, cost controls, and environment configurations.
• Work with application engineering teams to integrate machine learning outputs into downstream systems and user workflows.
• Support real time and batch inference patterns depending on business needs.
• Ensure that machine learning services meet performance, reliability, and availability expectations for production use.
• Collaborate closely with data scientists to shape models that are production ready and operationally sustainable.
• Provide guidance on feature engineering, model packaging, and performance tradeoffs from a deployment perspective.
• Document standards, patterns, and best practices for building and operating machine learning systems.
• Contribute to the maturation of the organization's overall AI and ML engineering discipline.

• Other duties as assigned

EDUCATION

• Bachelor's degree in Computer Science, Math, Statistics, or equivalent work experiencerequired.

EXPERIENCE AND SKILLS:

• 6+ years of strong experience building and operating machine learning systems in production environments.
• Solid software engineering skills with Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.
• Experience with data pipelines, workflow orchestration, and model deployment patterns.
• Hands on experience with cloud platforms and managed ML services, with Azure, AWS, and/or Databricks experience preferred.
• Understanding of MLOps concepts including model versioning, monitoring, testing, and lifecycle management.
• Experience working with sensitive data in regulated industries such as healthcare or insurance is strongly preferred.
• Ability to work cross functionally and translate between data science, engineering, and business stakeholders.

POSITION COMPETENCIES

• Accountability
• Analytical Problem Solving
• Collaboration
• Execution and Delivery
• Quality and Risk Management
• Systems Thinking
• Technical/Functional Expertise

PHYSICAL DEMANDS

• This is a standard desk role requiring extended sitting and computer work

WORK ENVIRONMENT

• Remote

Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.

The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.

Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.