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106 results for Mechanical Engineer jobs

Software Engineer III
  • Alpharetta, GA
  • onsite
  • Temporary / Contract
  • 50 - 56 USD / Hourly
  • <p><strong>Software Engineer (Databricks/Data Platform)</strong></p><p><strong>Hybrid 3-4 days onsite in Alpharetta, GA</strong></p><p><strong>Duration through 10/30/26</strong></p><p><br></p><p>We are looking for an experienced Software Engineer III to join our team in Alpharetta, GA. In this role, you will play a critical part in supporting and developing a Databricks-based data platform, focusing on creating scalable and efficient solutions during the development phase. This is a long-term contract position, requiring in-office work three to four days per week.</p><p><br></p><p>Responsibilities:</p><ul><li>Develop and support Databricks notebooks, jobs, and workflows</li><li>Write, optimize, and maintain PySpark and Python code for data processing</li><li>Help design scalable, reliable, and efficient data pipelines</li><li>Apply Spark best practices (partitioning, caching, joins, file sizing)</li><li>Work with Delta Lake tables and data models</li><li>Perform data validation and quality checks during development</li><li>Support cluster configuration and sizing for development workloads</li><li>Identify performance bottlenecks early and recommend improvements</li><li>Collaborate with Data Engineers to ensure solutions are production-ready</li><li>Document development standards, patterns, and best practices</li></ul>
  • 2026-04-16T00:00:00Z
Software Engineer III
  • Chicago, IL
  • onsite
  • Temporary / Contract
  • 52 - 58 USD / Hourly
  • <p><strong>Fullstack Engineer</strong></p><p><strong>Local to Chicago, IL</strong></p><p><strong>Duration through 4/30/27 with extensions possible</strong></p><p><br></p><p>We are looking for an experienced Software Engineer III to join our team in Chicago, IL. In this long-term contract role, you will play a critical part in designing, developing, and maintaining software solutions that adhere to high-quality standards and meet user needs. This position provides an exciting opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to deliver impactful results.</p><p><br></p><p>Responsibilities:</p><ul><li>Design, develop, and maintain full-stack applications using Java (Spring Boot) and Angular (17+)</li><li>Build, integrate, and consume RESTful APIs, GraphQL services, and microservices</li><li>Implement UI state management using NgRx Store</li><li>Deploy, monitor, and scale applications using Microsoft Azure services</li><li>Create and maintain CI/CD pipelines using GitHub Workflows</li><li>Conduct code reviews and enforce coding standards and best practices</li><li>Collaborate with Product Managers, UX Designers, QA, and SREs for end-to-end delivery</li><li>Write clean, secure, maintainable, and well-tested code</li><li>Troubleshoot, debug, and optimize application performance and infrastructure</li><li>Support continuous delivery and rapid iteration in a fast-paced Agile environment</li></ul>
  • 2026-04-17T00:00:00Z
Senior Machine Learning Engineer
  • Boston, MA
  • remote
  • Permanent / Full Time
  • 180000 - 200000 USD / Yearly
  • We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
  • 2026-04-22T00:00:00Z
Senior Machine Learning Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 175000 USD / Yearly
  • <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>&#128295; Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
  • 2026-04-03T00:00:00Z
Software Engineer II
  • Bloomfield, CT
  • onsite
  • Temporary / Contract
  • 52 - 56 USD / Hourly
  • <p>We are looking for a Software Engineer will develop and maintain embedded software for commercial elevator products. This role requires strong hands‑on experience with embedded systems, real‑time software development, and close interaction with hardware. The successful candidate will work collaboratively within a team environment, remain open to guidance from senior team members, and contribute across the full software development lifecycle, from concept and design through validation and production.</p><p>This position supports both legacy elevator control systems and new product development, requiring adaptability, technical depth, and a strong commitment to safety, quality, and continuous learning.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·        Design, develop, and maintain embedded system software for commercial elevator control products.</p><p>·        Participate in all phases of the software development lifecycle, including concept development, design, implementation, validation, deployment, and production support.</p><p>·        Implement new software features and change requests using high‑level C/C++ for embedded elevator systems.</p><p>·        Coordinate project activities across multiple elevator control system components, including control boards and field tools.</p><p>·        Develop and execute unit and integration tests in an engineering lab environment using hardware simulators.</p><p>·        Document software requirements, design specifications, test procedures, and test results.</p><p>·        Perform regression testing in support of software releases and maintain existing control software through enhancements and feature expansion.</p><p>·        Manage configuration control and change management while troubleshooting field issues and delivering software solutions.</p><p>·        Adhere to established coding standards and actively promote peer code reviews to ensure high‑quality, maintainable software.</p><p>·        Develop a deep understanding of elevator control hardware, interfaces, and system interactions.</p><p>·        Collaborate with cross‑functional teams while maintaining alignment across the organization.</p><p>·        Comply with company standards, including the Otis Absolutes of Safety, Ethics, and Quality.</p>
  • 2026-04-21T00:00:00Z
MAC/JAMF Engineer
  • Downers Grove, IL
  • remote
  • Temporary / Contract
  • 55.4135 - 64.163 USD / Hourly
  • <p>We are looking for an experienced macOS expert with extensive knowledge of JAMF and enterprise identity frameworks to join our team on a contract basis. In this role, you will lead efforts to troubleshoot and resolve critical issues in macOS device enrollment, identity management, and migration workflows. This position is based in Downers Grove, Illinois, and offers an opportunity to work on high-impact projects in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Diagnose and resolve macOS migration failures from Jamf to Intune, ensuring seamless device enrollment.</p><p>• Address issues related to enrollment notifications and reassignment workflows for macOS devices.</p><p>• Repair and optimize enrollment profiles, device tokens, and Apple–Intune handshake processes.</p><p>• Analyze and fix identity enforcement failures on macOS devices integrated with Intune.</p><p>• Ensure proper synchronization between Entra ID credentials and Okta integration at login.</p><p>• Develop compliant identity workflows that align with enterprise security standards and policies.</p><p>• Provide technical expertise and guidance to engineering teams working with Intune, Jamf, and identity platforms.</p><p>• Collaborate with Microsoft and Apple Enterprise Support to escalate and resolve complex technical challenges.</p><p>• Create detailed documentation of migration steps, troubleshooting processes, and best practices.</p><p>• Architect solutions to prevent conflicts between Apple-required local accounts and Zero Trust models.</p>
  • 2026-04-28T00:00:00Z
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