Machine Learning Engineer (Strathcona)

Machine Learning Engineer (Strathcona)

19 Apr
|
eSimplicity
|
Strathcona

19 Apr

eSimplicity

Strathcona

About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.

Purpose and Scope We are seeking an experienced Machine Learning Engineer to oversee quality assurance activities across our products and systems. This role is responsible for applying expertise in computer science and scientific disciplines to build, optimize, and maintain software applications used for scientific research, data analysis, and modeling.

Responsibilities

Serve as the technical authority for AI/ML strategy, architecture, and implementation across the program.

Design and deploy scalable AI/ML models

Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems.

Integrate AI solutions into secure enterprise environments.

Ensure compliance with data governance standards.

Provide oversight of data engineering pipelines and model lifecycle management (MLOps).

Develop and maintain model validation, explainability, and bias mitigation practices.

Advise program leadership and government stakeholders on emerging AI technologies and mission applications.

Support transition of experimental or prototype AI capabilities into operational production systems.

Mentor junior engineers and provide technical leadership across cross-functional teams.

Requirements Required Qualifications





All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field

4+ years of experience in software engineering, data science, or AI/ML development.

Demonstrated experience with: Python, R, or similar programming languages, Machine learning frameworks, Data engineering and large-scale data processing, and Model deployment and MLOps pipelines

Experience implementing AI solutions in secure or regulated environments.

Desired Qualifications Strong Understanding of AI/ML Concepts

Machine learning fundamentals (supervised, unsupervised, reinforcement learning)

Deep learning architectures (CNNs, RNNs, transformers, LLMs)

Model evaluation, tuning, explainability, and bias mitigation

HandsOn Experience With AI Tools & Frameworks such as

Python + ML libraries (TensorFlow, PyTorch, Scikitlearn)

Working knowledge of LLM tooling (e.g., LangChain, vector databases, RAG)





MLOps platforms (Azure ML, AWS SageMaker, MLflow)

Data Expertise

Data processing / feature engineering

Understanding of structured and unstructured data

Ability to work with large datasets and ETL workflows

Ability to Translate Business Problems Into AI Solutions

Identify use cases

Evaluate feasibility

Propose architectures and approaches

Communicate tradeoffs clearly to nontechnical stakeholders

Experience Leading AI Initiatives

Running proofofconcepts

Advising on model deployment

Working with crossfunctional teams (product, engineering, legal, compliance, UX)

Understanding of Governance, Ethics, and Responsible AI

AI fairness, safety, bias, and transparency

Data privacy laws (GDPR, CCPA, etc.)

Model governance and lifecycle documentation

Risk assessments and policy alignment

Working Environment eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager.

Occasional travel for training and project meetings. It is estimated to be less than 5% per year.

Advantages We offer a highly competitive salary and full healthcare benefits.

Equal Employment Opportunity eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

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📌 Machine Learning Engineer (Strathcona)
🏢 eSimplicity
📍 Strathcona

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