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4 results for Devops Aws Ansible Terraform Docker Ii Contractor in Mount Laurel, NJ

DevOps Engineering Manager

Fort Washington, PA
remote
Permanent / Full Time
170000 - 190000 USD / Yearly
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-04-21T00:00:00Z

Machine Learning Engineer II (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
64 - 71.85 USD / Hourly
Job SummaryWe are seeking a Machine Learning Engineer to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions. Key Responsibilities<ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul>
2026-04-16T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50 - 55 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-05-08T00:00:00Z

Machine Learning Consultant I (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: Available on W2 BasisConsultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x OnsiteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-04-29T00:00:00Z