Machine Operator Jobs

This entry-level role targets recent graduates and career switchers seeking positions as Junior Data Scientists or Data Engineers within the technology sector. The position involves applying skills in Python, Java, and machine learning to build data solutions for various clients. The opportunity is designed to bridge the gap between academic training and industry requirements, offering candidates hands-on experience with modern tech stacks. The program appeals to those with career gaps or limited work history by providing a structured pathway to full-time employment at major tech firms. Support is available for visa-related processes such as STEM extensions and H-1B filings. The arrangement typically involves placement with client organizations, facilitating professional growth and career momentum.

This role is a junior-level position within the Data Science and Engineering track at SynergisticIT, designed to bridge the gap between academic learning and real-world hiring expectations. The position focuses on developing hands-on experience through end-to-end project work, including API design, system architecture, and cloud deployment, while preparing candidates for technical interviews. It appeals to recent graduates and professionals seeking to refine their problem-solving skills and master current technology stacks. The opportunity offers a structured path to employment with top-tier companies and includes support for career advancement and visa processing where applicable. The work arrangement is remote.

This entry-level position targets Java microservices development and data engineering roles within the technology sector. The role focuses on bridging the gap between academic training and industry expectations by providing hands-on experience with modern tech stacks, including API design, backend architecture, and cloud deployment. Key responsibilities involve developing end-to-end solutions, mastering system design fundamentals, and preparing candidates for technical interviews at major employers. The opportunity is appealing due to its structured approach to career advancement, offering mentorship that transforms theoretical knowledge into job-ready skills. The program supports recent graduates and professionals returning to the workforce, with a focus on high-demand tracks like Java, Python, and data science. While the specific work arrangement is not detailed, the program emphasizes real-world project narratives and interview readiness to secure offers from top-tier companies.

This entry-level remote role targets recent graduates and career switchers seeking to launch a career in data science or engineering. The position involves developing skills in Python, Java, and machine learning while working on real-world projects for major clients. Key responsibilities include building data pipelines, analyzing datasets, and collaborating with engineering teams to deploy scalable solutions. The opportunity is appealing for candidates with limited experience, as it provides a structured pathway to gain hands-on industry exposure and rebuild professional momentum. The role supports candidates facing career gaps or those needing assistance with visa extensions, offering a collaborative environment focused on closing the gap between academic knowledge and employer expectations.

This entry-level position targets recent graduates and career switchers seeking roles as Java Spring Boot developers or data scientists within the technology sector. The role involves developing scalable applications using Java and Spring Boot, analyzing complex datasets, and implementing machine learning models to solve business problems. The opportunity is designed for candidates with limited experience who need to bridge the gap between academic training and industry requirements. It offers a pathway to full-time employment with major tech and financial clients, providing access to in-demand skill development and potential support for visa sponsorship. The position focuses on building a practical career foundation in a competitive market.

This entry-level position targets recent graduates and career switchers seeking roles as Data Scientists or Data Analysts within the technology sector. The role involves applying practical skills in data analysis, machine learning, and programming to solve real-world business problems for major tech clients. Key responsibilities include building data models, analyzing complex datasets, and collaborating with engineering teams to deliver actionable insights. The opportunity is appealing for candidates aiming to bridge the gap between academic knowledge and industry requirements through a structured placement program. The arrangement supports professionals seeking full-time employment with opportunities for visa sponsorship and career growth in high-demand tech stacks.

This entry-level position targets recent graduates and career switchers seeking roles as Junior Java Developers with Spring Boot expertise or Data Engineers with an AI focus. The role involves developing scalable backend services, building data pipelines, and implementing machine learning solutions to solve real-world business problems. It is designed for candidates who possess strong theoretical knowledge but require practical project experience to transition into full-time employment. The opportunity appeals to individuals aiming to bridge the gap between academic study and industry demands by working on live projects that demonstrate immediate value to employers. The position offers a pathway to full-time employment with top technology firms and supports candidates requiring visa sponsorship or STEM extensions.

This position is a career development program rather than a direct employment role, designed to prepare candidates for Java microservices and junior data analyst opportunities. The program focuses on optimizing resumes, building real-world project depth, and preparing candidates for technical interviews to bypass automated hiring filters. Participants receive guidance on aligning their skills with current market demands in Java, full stack, and data analytics fields. The offering appeals to recent graduates, career switchers, and professionals with employment gaps by providing a structured path to secure roles at major technology and financial organizations. The program includes support for interview readiness and negotiation, with additional assistance available for visa-related processes upon securing employment.

This entry-level software developer role is part of the Job Placement Program offered by SynergisticIT, designed to support recent graduates and career switchers in securing full-time technology positions. The program focuses on optimizing candidate profiles, building real-world project depth, and preparing individuals for technical interviews and offer negotiations. Key responsibilities include refining resume content to pass automated screening systems, developing skills in high-demand stacks such as Java, Python, and DevOps, and aligning professional narratives with current market needs. The position appeals to candidates seeking to bypass the modern hiring funnel and connect directly with Fortune 500 clients. It offers a remote work arrangement and provides guidance on career stability, including support for visa processes like H-1B and Green Card filings once employed.

This entry-level Java Developer role focuses on building and maintaining enterprise-class applications using Spring Boot, microservices, and DevOps practices. The position involves developing custom software solutions, integrating business layers with external components, and providing production support for web applications. Candidates will also engage in code analysis, testing, and the implementation of complex web services within a client-server environment. The opportunity appeals to those seeking to bridge the gap between academic knowledge and real-world industry demands through structured skill-building and hands-on project experience. It offers a pathway to join leading organizations with a focus on collaborative engineering workflows and career growth in high-demand technology stacks.

This Staff Software Engineer role within General Motors' Autonomy Evaluation team focuses on building the evaluation ecosystem that powers the development and scaling of autonomous driving technology. The position involves defining strategies for metrics and analyses to assess software performance across the autonomy stack, leading cross-functional efforts to integrate evaluation into development workflows, and inventing new statistical and machine learning methods to quantify system behavior at scale. The role offers the opportunity to shape core evaluation platforms and accelerate validated AV deployment. It is based in the Bay Area with a hybrid arrangement requiring three days on-site for local residents, or fully remote for others, and provides a collaborative environment dedicated to advancing safe and intuitive personal autonomous vehicle experiences.

This part-time EKG Tech III role supports the Heart Station team at the University of Toledo Health Science Campus. The position involves performing a wide range of cardiac diagnostic procedures, including electrocardiograms, Holter monitor scans, event recorders, and exercise stress tests for patients across all age groups. Key responsibilities include ensuring patient safety through fall risk assessments and infection control protocols, maintaining equipment functionality, and communicating effectively with the healthcare team. The role appeals to candidates seeking to contribute to a culture of respect and patient well-being within a collaborative medical environment. The schedule covers a 6:30 am to 11:00 pm shift, requiring flexibility and proficiency in both clinical testing and computer-based data management.

This temporary Data Analyst role supports the Bureau of Vital Statistics within the NYC Department of Health and Mental Hygiene, focusing on analyzing birth, death, and other vital event data. Key responsibilities include conducting statistical analyses, producing the Annual Summary of Vital Statistics, generating routine reports, and collaborating on research projects using machine learning approaches. The position offers a hybrid work arrangement and the opportunity to contribute to public health initiatives serving millions of residents. Candidates benefit from a comprehensive benefits package, professional development opportunities, and a collaborative environment dedicated to creating healthier, more equitable communities.

This W2 contract role serves as a Senior RF Test and PCB Design Engineer within a technology team focused on accelerating career growth. The position involves leading complex PCB development using Cadence Allegro, performing signal and power integrity simulations with Ansys HFSS, and managing hardware bring-up and debugging. Key duties include conducting RF characterization with specialized lab equipment, applying machine learning to analyze test data, and collaborating with RFIC and system engineering teams. The opportunity appeals to candidates seeking a supportive culture that prioritizes work-life balance and professional development, offering weekly payments and a benefit package. The role requires a strong background in RF theory and high-frequency PCB design.

The Junior Data Platform Engineer role supports Trulioo's global digital identity verification platform by building and maintaining data pipelines and models. Key responsibilities include assisting with data ingestion and transformation, designing data structures for SQL, NoSQL, and vector databases, and integrating machine learning models for entity resolution and search optimization. This position offers a hybrid work arrangement based in San Diego with three days in the office, providing access to a collaborative culture recognized as a top employer. The role is appealing for its focus on mentorship, exposure to modern data technologies, and the opportunity to contribute to a mission that fosters global trust and economic inclusion.

The EHS Program Manager role at ZT Systems supports the Georgetown Factory by driving safety, health, and environmental initiatives through human and organizational principles. Key responsibilities include developing and improving EHS management systems, conducting audits and incident investigations, and facilitating training to ensure compliance with federal regulations and ISO standards. The position appeals to professionals seeking a career-defining opportunity within a fast-paced, collaborative culture that values continuous learning and innovation. This on-site role offers the chance to work alongside passionate teams to design and build impactful technology infrastructure while accessing comprehensive benefits and structured professional development programs.

This entry-level Java Full Stack Developer role targets recent CS or IT graduates seeking to transition from academic study to professional engineering. The position focuses on building production-ready applications using Java and modern frameworks, with responsibilities including developing end-to-end solutions, optimizing system performance, and preparing for technical interviews. The opportunity is appealing due to its structured pathway designed to bridge the gap between university theory and real-world industry demands, offering mentorship to help candidates build a robust portfolio. The program emphasizes practical skill acquisition in high-demand areas like DevOps and data engineering, providing a clear route to full-time employment with major organizations.

This remote entry-level software engineering role targets recent graduates and career switchers seeking to bridge the gap between academic training and industry demands. The position focuses on developing skills in Java, Python, and full-stack technologies while working with clients in sectors like finance and technology. Key responsibilities include building scalable applications, participating in data engineering or machine learning projects, and gaining hands-on experience with modern tech stacks. The opportunity is appealing for candidates with limited work history, career gaps, or those needing STEM extension support, as it provides a structured path to full-time employment with major tech leaders. The program emphasizes practical skill development and offers mentorship to help professionals rebuild confidence and secure long-term career growth in a fully remote environment.

This opportunity targets recent Computer Science, IT, or Data Science graduates seeking entry-level roles in software engineering or data science. The position focuses on developing skills in Java full-stack development, data analytics, and machine learning to meet current market demands. Key responsibilities include building production-ready projects, mastering modern tech stacks, and preparing for technical interviews to demonstrate immediate value to employers. The program appeals to candidates by offering a structured, placement-focused pathway that bridges the gap between academic theory and real-world application. It provides mentorship to help graduates build robust portfolios and gain confidence in system design and data analysis. The arrangement supports both domestic and international students, including those on F-1/OPT visas, with guidance on long-term career stability and work authorization processes.

This entry-level opportunity targets recent Computer Science, IT, or Data Science graduates seeking to transition into full-time roles as Data Engineers, Data Scientists, or Backend Developers. The position focuses on building production-ready skills through a structured pathway that emphasizes real-world projects, modern tech stacks like Java and Python, and interview preparation. Key responsibilities include developing scalable software solutions, managing data pipelines, and demonstrating end-to-end system capabilities to meet client needs. The role is appealing due to its placement-focused approach designed to bridge the gap between academic theory and industry demands, offering candidates a clear roadmap to employment with major organizations. The position is fully remote, providing flexibility for new graduates to launch their careers in high-demand technology sectors.

This full-time Key Account Manager role within Danfoss Climate Solutions focuses on driving growth for the industrial refrigeration portfolio across the United States. The position serves as a hybrid of sales and engineering, requiring the candidate to identify new opportunities, develop strategic account plans, and provide technical guidance on ammonia and CO2-based systems to OEMs and contractors. Key responsibilities include sizing components, preparing quotations, and influencing project specifications while maintaining strong relationships with industry partners. The role is appealing due to its alignment with a global sustainability mission to reduce emissions, offering significant autonomy in a remote work arrangement with up to 40% travel. The company supports professional development through internal promotion opportunities, mentoring, and a collaborative culture that values innovation and work-life balance.

This full-time Sales Representative role at JCB serves as the primary liaison for customers, driving machine sales coverage within a specific territory or through inside sales channels. The position involves managing customer relationships, promoting construction equipment solutions, and ensuring high levels of customer satisfaction. Key responsibilities include generating new business, maintaining existing accounts, and utilizing provided vehicle allowances to cover travel needs. The opportunity is appealing due to the company's fast-growing status, clear advancement pathways, and a mission focused on innovation and community support. The role offers a collaborative environment with comprehensive benefits and is open to candidates with at least two years of sales experience, with bilingual skills in English and Spanish being a preferred asset.

The Inventory, Retail & Merchandising Manager role oversees purchasing, cost control, and merchandising strategy across four luxury salon locations in the beauty industry. Key responsibilities include managing company-wide inventory accuracy, optimizing vendor strategies, setting COGS targets, and designing seasonal promotions to drive profit margins. This position appeals to data-driven professionals seeking autonomy and ownership, offering a non-corporate environment where strategic decisions directly impact growth. The role provides flexible scheduling, performance-based bonuses, professional development opportunities, and a collaborative culture focused on scaling systems within a creative fashion and wellness setting.

The Technology Field Mechanic role involves performing service repairs and preventive maintenance on construction machinery technology solutions for Altorfer Industries. Key responsibilities include installing and calibrating factory-integrated and aftermarket systems such as GPS grade control and laser equipment, troubleshooting complex electrical and hydraulic issues, and maintaining detailed service reports. The position requires a Class B CDL and the ability to work independently at customer job sites, shops, and while traveling between locations. This opportunity is appealing due to the company's collaborative, family-owned culture with a long history of employee tenure, industry-leading union benefits including healthcare and pension, and a strong emphasis on professional growth within a team of experienced technicians.

This limited-term Data Scientist role at Harris-Stowe State University supports a grant-funded research project investigating the effects of light pollution on pregnancy outcomes. The position involves analyzing complex neurobiological datasets, developing statistical models and machine learning algorithms, and managing experimental data integrity. Key responsibilities include training undergraduate researchers, designing research protocols, and visualizing findings for academic presentations. The role appeals to candidates seeking to apply advanced data science skills to meaningful public health research within a collaborative, diverse academic environment. The position is based on the university's campus in St. Louis, Missouri, and offers the opportunity to work alongside senior faculty and contribute to interdisciplinary scientific discovery.