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2 results for Machine Learning Consultant I Contractor in Philadelphia, PA
- Philadelphia, PA
- onsite
- Temporary / Contract
- 70 - 75 USD / Hourly
- <p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Philadelphia, PA Hybrid, 4x Onsite</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We 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.</p><p><strong>Key Responsibilities</strong></p><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
- Camden, NJ
- onsite
- Permanent / Full Time
- 90000 - 130000 USD / Yearly
- <p>We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.</p><p>• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.</p><p>• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.</p><p>• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.</p><p>• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.</p><p>• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.</p><p>• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.</p><p>• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.</p><p>• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.</p><p>• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.</p>
- 2026-04-30T00:00:00Z