Engineering Jobs in Everett Middlesex County Ma Online

Production Supervisor – Aerospace

$45 - $48 per hour + Excellent Benefits Package

Melrose, MA

Are you a Production Supervisor or Foreman, from an Aerospace background, looking to step up in to a Production Managers position?

This is an excellent opportunity to receive on the job training to develop your leadership skills whilst putting your own stamp on the business and overseeing a wide range of manufacturing processes.

This is a great time to join this niche manufacturer as they continue to work on innovative projects for their loyal customer base.

On offer is a varied role where you will be responsible for managing the machining, welding, painting, assembly and shipping teams. This is a fast paced role where you will work closely with clients and have the autonomy to implement new processes.

This role would suit an experienced Assembler, who wants to receive on the job training to develop as a Production Manager with a highly successful company where you will lean a wide range of new manufacturing processes.

The Role:

*Production Manager

*Overseeing machining, welding, painting, assembly and shipping processes

*Working closely with customers and implementing new bespoke processes

The Candidate:

*Experienced Production Supervisor / Foreman

*Aerospace background

*Wants on the job training and to progress as a manager

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Paragonix Technologies markets organ transportation devices that safeguard organs during the journey between donor and recipient patients. Our devices incorporate clinically proven and medically trusted hypothermic preservation techniques in a novel suspension system to provide unprecedented physical and thermal protection. Our product portfolio spans cardiac, thoracic, and abdominal preservation devices to improve donor organ quality and extend donor organ transport time. Paragonix also markets transplant services and organ screeningto the transplant community.

Position Overview: The Design Quality Engineer will play a crucial role in ensuring the quality and compliance of Paragonix's medical device products throughout the design and development lifecycle. The successful candidate will collaborate closely with cross-functional teams, including R&D, manufacturing, regulatory affairs, and quality assurance, to drive excellence in design control processes.

Primary responsibilities/authority will include:

• 
  
• Design Control Compliance: Implement and maintain design control processes in accordance with applicable regulatory standards (e.g., ISO 13485, ISO 14971, FDA QSR, MDR) to ensure the development of safe and effective medical devices.
  
• Risk Management: Lead and contribute to risk management activities throughout the design process, including the identification, assessment, and mitigation of potential risks. Work closely with the R&D team to integrate risk management into the design process.
  
• Failure Analysis: Assist in Post-Market Surveillance (PMS) initiatives, including failure investigation, record review, and data trending.
  
• Quality Planning: Develop and execute quality plans for new product development projects, outlining quality objectives, deliverables, and verification/validation activities.
  
• Design Input and Output:
  
  • 
    
  • Review and approve design inputs to ensure they are clear, complete, and aligned with user needs and regulatory requirements.
    
  • Validate that design outputs meet the specified design input requirements.
    
  
  
  
• Change Control: Manage design changes by assessing their impact on product quality, ensuring proper documentation, and obtaining necessary approvals.
  
• Verification and Validation:
  
  • 
    
  • Develop and execute protocols for design verification and validation strategies and acceptance criteria.
    
  • Collaborate with testing teams to ensure thorough testing of product designs.
    
  
  
  
• Collaboration: Work closely with cross-functional teams, including R&D, manufacturing, regulatory affairs, and quality assurance, to facilitate effective communication and collaboration throughout the product development process.
  
• Regulatory Compliance: Stay abreast of relevant regulations and standards and ensure that product designs comply with applicable requirements. Support regulatory submissions as needed.
  
• Continuous Improvement: Identify opportunities for process improvements within the design control system and contribute to the development and implementation of best practices.
  

Required Qualifications:

• 
  
• Bachelor's degree in engineering or a related field; advanced degree preferred.
  
• Minimum of 1-3 years of experience in a quality engineering role in the medical device industry.
  
• In-depth knowledge of design control processes, risk management, and quality management systems (ISO 13485, ISO 14971, FDA QSR).
  
• Strong technical skills related to product quality including VOE translation to Design Specs, Human Factors, CTQ Cascades, Design Characterization, Verification / Validation, Test Method Validation, Process Validation, Inspection Techniques and Statistics.
  
• Strong understanding of regulatory requirements for medical devices (FDA, EU MDR, etc.).
  
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across functions.
  
• DFSS or DMAIC Black Belt Certified, ASQ Certified Quality Engineer (CQE) or Certified Quality Auditor (CQA) certification is a plus.
  

Other Requirements:

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• Electrical and mechanical background strongly preferred.
  
• Experience creating and analyzing charts in Minitab, JMP, or equivalent software a plus.
  
• Knowledge of Six Sigma, Lean, SPC, ASQ and/or ISO process controls a plus.
  
• Computer proficiency in MS office (specifically Excel).
  
• Effective verbal and excellent technical writing skills.
  
• Excels at generating and maintaining organized and accurate records.
  
• Excellent oral and written communication skills in English.
  
• Able to travel domestically and internationally as required (

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Introduction: We are seeking an experienced and detail-oriented Quality Control Manager to oversee and maintain the highest standards of quality in our heavy civil construction projects. The ideal candidate will have a strong background in construction practices, quality control methodologies, and regulatory compliance. As the Quality Control Manager, you will be responsible for ensuring that all aspects of the construction process meet or exceed company standards, industry regulations, and client expectations.

Key Responsibilities:

• Quality Control Oversight:
• Develop, implement, and maintain a robust quality control program to ensure construction projects meet all specifications, quality standards, and regulations.
• Conduct regular site inspections, audits, and testing of materials, workmanship, and processes.
• Identify and resolve quality issues or defects in a timely manner.
• Compliance and Standards:
• Ensure compliance with all relevant building codes, safety regulations, and industry standards (local, state, and federal).
• Stay current with new quality control practices, industry trends, and applicable laws/regulations.
• Team Leadership:
• Manage and train quality control staff and subcontractors on best practices, inspection protocols, and quality requirements.
• Promote a culture of quality and continuous improvement across all construction teams.
• Documentation and Reporting:
• Maintain detailed records of inspections, test results, quality audits, and corrective actions.
• Prepare and submit regular quality control reports to project managers, stakeholders, and clients.
• Collaboration:
• Work closely with project managers, engineers, architects, and subcontractors to address quality-related concerns and support project goals.
• Collaborate with procurement to verify that materials meet required standards before use on-site.
• Risk Management:
• Proactively identify potential quality risks and mitigate issues that could affect timelines, costs, or project success.
• Recommend corrective actions and process improvements to prevent recurrence of quality issues.

Job Title: Cloud Developer

Location: Boston, MA

Job Type: Full-Time

Job Description

We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.

Responsibilities

• Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
• Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
• Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
• Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
• Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
• Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
• Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
• Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).

Essential Skills

• 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
• Strong SQL proficiency with experience building maintainable, production-grade query logic.
• Hands-on experience with Amazon Athena and S3-based analytics workflows.
• Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
• Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
• Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
• Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
• Strong written communication (design notes, operational runbooks, incident summaries).
• Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.

Additional Skills & Qualifications

• Experience building or supporting ETL pipelines using AWS Lambda, Step Functions, Glue, and/or EventBridge.
• Familiarity with IoT/telemetry data flows (device-to-cloud) and schema evolution patterns.
• Experience with observability (logs/metrics/alerts), operational excellence practices, and on-call readiness.

Work Environment

This role operates in a dynamic environment focusing on AWS technologies, including Amazon Athena, S3, QuickSight, CloudWatch, and AWS CDK. The position requires a high level of collaboration across teams, with a strong emphasis on quality and operational excellence. You will engage in cross-functional projects and contribute to the end-to-end analytics solutions within a fast-paced setting.