Associate AI/ML Engineer

eSimplicity

. Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines .

Posted 4/21/2026full-timeRemote • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $90,100 - $128,100 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonPyTorchTensorflow

About the role

Key responsibilities & impact

Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines
Support model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale
Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments)
Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive
Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage
Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development
Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists
Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement
Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals
Translate technical specifications into code and design documents

Requirements

What you’ll need

Bachelor’s degree in computer science or related field
3+ years hands-on developing and deploying AI/ML models in production environments
Proficient in Python (including packaging, testing, performance optimization)
Understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale
Proficient in data preprocessing, feature engineering, and data visualization for decision support
Proficient with PyTorch/TensorFlow, and modern MLOps (deployment, monitoring, scaling, CI/CD, experiment tracking, model registry)
Experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse, Azure Data Lake)
Experience developing AI agents in Copilot Studio and via Python frameworks (tooling, orchestration, retrieval, connectors)
Strong attention to detail with a commitment to delivering high-quality and accurate work
Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams
Proven ability to manage time and prioritize tasks in a fast-paced environment
Demonstrated problem-solving skills with a proactive and solution-oriented mindset.

Benefits

Comp & perks

full healthcare benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningnatural language processingdeep learningdata preprocessingfeature engineeringmodel selectionmodel trainingmodel validationmodel optimizationmodel evaluation

Soft Skills

attention to detailcommunication skillscollaborationtime managementprioritizationproblem-solvingproactive mindsetsolution-oriented mindset

Certifications

Bachelor's degree in computer science