Element Solutions

Element Solutions is a human-centered agency specializing in government modernization and digital transformation, offering expertise in DevOps, FHIR, and data analytics.

Professional Services

Industrials

11-50 (30)

Founded 2009

10 open positions

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Machine Learning/AI Engineer

2 weeks ago

United States

Full-time

Mid Level

AI Engineer

Software Development

Agile AWS Azure CI/CD Docker GCP Kubeflow Kubernetes LLM Machine Learning MLflow MLOps Python PyTorch REST API SageMaker Scikit-learn SQL TensorFlow Vertex AI

Apply Now

Element Solutions

Element Solutions is a human-centered agency specializing in government modernization and digital transformation, offering expertise in DevOps, FHIR, and data analytics.

Professional Services

11-50

Founded 2009

View All Jobs 10

Description

Develop and deploy at least three production-grade AI/ML models for use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization.
Design, build, and maintain end-to-end machine learning pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment.
Apply PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models.
Implement scalable model serving architectures that support high availability, low latency, and secure inference in production.
Collaborate with data engineers to access, transform, and prepare large-scale datasets for training and inference.
Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions.
Monitor production model performance, including drift detection, accuracy tracking, and retraining strategies.
Ensure compliance with federal security, privacy, and governance standards in AI/ML implementations.
Participate in Agile ceremonies such as sprint planning, design reviews, and technical demonstrations.
Document model architectures, training methodologies, and deployment processes for maintainability and auditability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related field, or equivalent experience.
3+ years of experience in machine learning, data science, or AI engineering roles.
Proven experience delivering production-grade machine learning models in real-world environments.
Expert proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, and PyTorch.
Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic.
Experience leveraging Large Language Models (LLMs) in development, including understanding of context windows, prompt design, and input/output structures.
Experience building and deploying models using scalable serving frameworks such as REST APIs, containerized deployments, or cloud-based inference services.
Experience working with large-scale structured and unstructured datasets.
Strong understanding of machine learning concepts including supervised and unsupervised learning, deep learning, model evaluation, and feature engineering.
Experience working in the federal government or another highly regulated environment with security and compliance requirements.
Strong analytical and problem-solving skills.
Ability to communicate complex technical concepts to non-technical stakeholders.
Strong collaboration skills across engineering, data, and product teams.
Ability to work independently in a fast-paced, mission-driven environment.
High attention to detail with a focus on model reliability and production readiness.
US Citizenship or Permanent Residency required.
Must reside in the Continental US.
Public trust background check or security clearance may be required depending on the government agency.

Benefits

Competitive pay with a likely salary range of $135,000 to $145,000 per year.
Health care benefits, including dental and vision coverage.
Life insurance.
401(k) retirement plan.
Paid time off, including PTO and holidays.
Other paid leave required by law.
Remote-first work environment.
Opportunity to work on impactful federal mission systems and digital transformation work.

Interested in this position?

Apply directly on the company website

Apply Now

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