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3 results for Qa Automation Engineer in Boston, MA

Quality Assurance Tester

Boston, MA
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for a Compliance Engineer to support regulatory and certification testing for retail technology products in Boston, Massachusetts. This Long-term Contract position focuses on validating product compliance across safety, electromagnetic compatibility, and radio frequency standards while partnering with engineering teams and external laboratories. The ideal candidate will combine hands-on testing expertise with strong documentation skills to help keep certification activities on track and aligned with broader product timelines. Responsibilities:• Execute hands-on compliance evaluations covering electrical safety, EMC, and wireless performance requirements for new and existing products.• Partner with compliance leadership, product developers, and external laboratories to plan, coordinate, and complete required certification activities.• Investigate test failures, support root-cause analysis, and help drive timely issue resolution so project milestones remain on schedule.• Work across engineering and program teams to align regulatory testing plans with overall development deliverables and launch targets.• Manage communication with third-party certification facilities to secure initial approvals as well as ongoing renewals.• Contribute to regulatory readiness strategies that support product releases in multiple international markets.• Review applicable standards and confirm that products satisfy required safety, energy efficiency, EMC, and RF certification criteria.• Analyze laboratory results, compare data from different test environments, and prepare clear compliance documentation with supported conclusions.• Assist with change-related engineering activities and coordinate with regulatory bodies, manufacturing partners, and test organizations as needed.
2026-06-12T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent / Full Time
120000 - 140000 USD / Yearly
M365 Implementation Engineer Location: Remote Department: Professional Services Type: permanent About the Role We are seeking an experienced M365 Implementation Engineer to join our Professional Services team. This position combines hands-on engineering work with frequent client interaction. You will design, deploy, and optimize Microsoft 365 solutions while collaborating directly with customers through daily video calls, workshops, and project updates. This role is ideal for someone who enjoys both the technical side of M365 and the client-facing aspects of consulting. What You’ll Do Lead the deployment, configuration, and migration of Microsoft 365 services in client environments. Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem. Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance. Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes. Implement best practices around identity, governance, compliance, and security within the M365 tenant. Troubleshoot escalated issues and support clients throughout project delivery. Work closely with project managers and stakeholders to translate requirements into effective technical solutions.
2026-06-09T00:00:00Z

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. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-06-09T00:00:00Z