Etcher Machine Job Description Sample
Machine Operator 3 - 1St Shift (Island Lake, IL)
The Caterpillar Global Power Systems Division, Oil & Gas, has an exciting opportunity for a Machine Operator 3, located in Island Lake, IL. In this position, you will ensure that parts are machined in a quality manner as needed according to the production schedule.
Job duties may include but are not limited to:
Working with the following machines: Trev, Intergex, lathes/Mills
Standing for extended periods of time including squatting, bending, lifting, twisting, pushing and pulling
Ability to lift up to 50 lbs.
Ability to follow routers
Proper part protection, stacking and packaging
Ability to use basic hand tools
Use and wear the proper safety equipment
Everyone is expected to manage themselves responsibly and act professionally at all times as well as demonstrate the ability to follow instructions and work in a team environment
Communicate clearly to supervisors and lead men while showing awareness of chain of command
Demonstrate the ability to use the intranet to follow Safety procedures as well as other shop policies and procedures including work instructions
Demonstrate the ability to recognize safe and unsafe procedures to avoid hazards
Must know how to properly stop the machine in case of emergency
Maintain a safe, clean, and healthy working environment including but not limited to the 5S program Prepare daily time sheets and other daily paper work accurately
Familiarize themselves with identifying and properly using the various measuring instruments including Go/No Go gages
Ability to read and identify tolerances on a blue print
Show the ability to perform simple shop math
Show the ability to differentiate good parts from bad parts including stamping
Familiarize themselves with different deburring techniques
Familiarize themselves with insert wear
Familiarize themselves with thread forms as well as tool nose radius
Must consistently meet or exceed daily productions standards while also maintaining safety and quality standards with minimal supervision
Familiarize themselves with the names and functions of the various tooling
Recognize and understand part numbers and show the ability to interpret work order steps
Show the ability to make offsets effectively to maintain tolerances
Show the ability to consistently and effectively run machines while maintaining quality and production standards with minimal supervision
Show the ability to recognize and change worn inserts
Demonstrate a better understanding of detailed blue prints including control plan prints and set up sheets
Begin to familiarize themselves with basic G and M codes
Understand the different machines axes and their functions
Proper loading and unloading of parts including towers/tables, 3 jaw chucks, indexable chucks and vises.
Ability to load and run parts on a CMM as needed.
Ability to understand and reset alarms for loaders including sensors as needed.
Understand and use tool life as needed.
Ability to indicate a part prior to machining as needed.
Must understand and become proficient with G and M codes
Familiarize themselves with and understand the function of canned cycles
Familiarize themselves with feeds and speeds understanding the cause and effects
Must understand the proper operation sequences in a given program
Must demonstrate a strong and thorough understanding of the machining processes
May require ability to set up gantry tables and towers
Ability to set up roll dies and etchers
Ability to rework parts to print
Must demonstrate the ability to start up and home out machines.
Experience working on Trevisans and Mazaks.
Ability to operate computerized equipment
Top Candidates Will Also Have
- Solid work history and willingness to successfully function in a team environment
Relocation not offered
Please ensure you frequently check the e-mail account you provided on your application, including the spam/junk folder, as this is the primary correspondence method in our recruiting process.
Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.Caterpillar.com/Careers
CIB Machine Learning Center Of Excellence - Machine Learning Engineer - Associate
CIB Machine Learning Center of Excellence
Machine Learning Engineer
Req #: 180073940
Location: New York, NY, US
Job Category: Technology
The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company's unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the company's lines of business, with exceptional opportunities in each.
The successful candidate will apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning.
Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions.
Collaborate with all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management.
Lead your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.
MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. If BS only, 2-5 years of hands-on experience developing machine learning models.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
Ability to develop and debug in Python, Java, C or C++. Proficient in git version control. R and Matlab are also relevant.
Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
Familiarity with basic data table operations (SQL, Hive, etc.)
Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.
Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model's performance which are aligned with business goals.
Must be able to effectively communicate technical concepts and results to both technical and business audiences.
Solid time series analysis, speech recognition, NLP or financial engineering background.
Strong background in Mathematics and Statistics.
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal.
Experience with GPUs and cloud-based training of deep neural networks.
Contribution to open-source projects on Machine Learning.
Knowledge in Reinforcement Learning or Meta Learning.
Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
Machine Shop Estimator
Precision Swiss Products is a world-class provider of precision machined components and assemblies for the medical, aerospace, and semiconductor industries. We are looking for experienced Machine Shop Estimator with extensive knowledge of these industries. The ideal candidate will be IT literate with excellent communication skills, with the ability to process large amounts of information and capable of achieving tight deadlines.
Ensure all estimates conform to company quality management system as well as all customer and regulatory requirements.
Analyze blueprints and other documentation to prepare time, cost, materials and labor estimates.
Collaborate with vendors, customers, personnel in other departments to discuss and formulate estimates and resolve issues.
Confer with engineers and subcontractors on changes and adjustments to cost estimates.
Conduct special studies to develop and establish standard hour and related cost data or effect cost reduction.
Prepare estimates with potential scenario variations used by management for purposes such as planning and organizing workload and identify optimal batch sizes to support various long-term agreements.
Generate customer quotations and work with sales and customers for quote delivery and follow up.
Act as liaison between customer, engineers, subcontractors, internal production, and sales team.
Perform closed and live job reviews.
Collaborate with purchasing to discover new vendors for specialized services, obtain costs and lead time for all outside process to support bid preparation.
Identify potential risks during quotation phase and communicate in writing to alert costumers, i.e. missing specifications, sourcing risks, etc.
Be a participating team member for driving efficiency and Design for Manufacturing (DFM)
At least 7 years of experience in estimating or machine shop environment.
Ability to read and clearly understand engineering drawings.
Proficient computer skills, MS Office with emphasis on Excel.
Professional verbal and written communication skills.
Proven analysis and problem-solving skills.
Excellent time management and work organization skills
Excellent collaboration skills.
Ability to define problems collects data, establish facts and draw valid conclusions.
Ability to work on a team.
Challenging yet professional nature is essential.
Knowledge of ERP/MRP systems is a plus.
Understanding of various product qualification process, i.e. PQP, as well as statistical process control (SPC) preferred.
Project Management Experience is a plus.
Benefits and Perks:
Medical, Dental, Vision, Life Insurance, 401k, Paid Time Off, Sick Leave, Holiday Pay
Company Programs and Events include: Employee of the Month Awards, Annual Holiday Party, Halloween Potluck, Summer Bash, Appreciation Lunches, and many more, because besides working hard we like having fun!
Cnc/Waterjet Machine Operator Night Shift (Monday-Thursday 2:45Pm-12:45Am)
Ensuring Chart's Success…
Chart's New Prague, MN location is currently seeking candidates interested in the position of Machine Operator on the night shift. Chart's Machine Operator plays a key role in the manufacturing process of Chart's products with the operation and setup of CNC machinery.
What Your Day-to-Day Activities Will Be…
Operation of CNC machine for cutting piece parts and steel plate.
Set up our machines for each operation.
Position safety operation.
Inspect and perform minor maintenance on all assigned machines.
Maintain assigned shop equipment and hand tools.
Maintain required production records.
Observe and practice safety procedures and policies.
Maintain a neat and orderly work station with equipment in safe operating condition.
Perform other job-related duties and responsibilities as assigned by the supervisor.
Your Professional Experience Should Be…
Previous experience with the setup of CNC machinery.
Previous experience with various types of metals.
Previous machine/equipment operation.
Familiarity with the use of hand tools.
Familiarity of measuring devices such as micrometers, calipers, tape measures.
Your Education Should Be…
High School diploma, GED, or equivalent experience/training.
Completion of blueprint course.
Your Physical Work Environment Will Require…
Frequent standing, sitting, walking, bending, stooping, twisting, and occasional crawling.
Frequent lifting up to 50 lbs., occasional heavier lifting.
Frequent pushing, pulling and handling of materials.
Frequent carrying up to 50 lbs.
Exposure to metal cutting and welding odors.
May involve exposure to temperature extremes.
Exposure to overhead objects.
Exposure to occasional flying debris.
Required use of safety glasses with side shields, ANSI approved steel-toed safety shoes, welding helmets, and hard hats, (in designated areas).
Exposure to chemical cleaning solutions and their odors.
Chart Industries is an equal opportunity employer.
Mechanical Design Engineer - Machine Design - 1058
This opportunity is being offered by National Aerospace Solutions, the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC), Arnold Air Force Base, Tennessee. AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization and an important national resource.
AEDC’s mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, ground and flight test. Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.
NAS currently has an exciting opportunity available for a Mechanical Design Engineer for Machine Design to join our team in Tullahoma, TN.
Mechanical Design Engineers design, evaluate, analyze, and assist in the fabrication and installation of hardware across the complex, including process piping systems, drive systems, mechanisms, and test hardware. Mechanical design engineers work closely with test and system engineers in development of design requirements and ensuring proposed designs meet those requirements. Close coordination with manufacturing is required to ensure economic and feasible designs.
Some specific tasks associated with this type of work include (this is not an exhaustive list):
- Develop concepts for new hardware and provide thermal, structural, flow, or any other required analysis to support the proposed design. Evaluate the analysis results for suitability relative to applicable codes and standards.
- Designing one-of-a-kind of mechanisms, wind tunnel models, and test fixtures including associated stress analysis.
- Provide engineering support to the appropriate craft workforce to facilitate maintenance and repair of existing systems. Evaluate existing hardware for safety, security and potential for improvement.
- Work with the design team (drafters, checkers, etc.) to produce complete design packages, including detailed drawings, analysis reports, and equipment specifications, and be capable of communicating the details of these design packages to the remaining project team (system engineers, test engineers, project managers, craft supervisors, etc.)
- Coordinate with the appropriate system engineer, craft supervisor, and/or work planner to ensure that hardware is fabricated and installed in accordance with the approved design package.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Perform other related duties as required.
- B.S. degree in mechanical engineering from an accredited college or university plus 6 – 9 years of progressive and relevant experience in machine design, mechanism design, and stress analysis.
- Technical knowledge of engineering systems, engineering calculations, applications of engineering methods and construction methods and materials, and application of computer aided engineering (CAE)/computer aided design (CAD) tools to engineering problems.
- Experience selecting automation, gears, bearings, drives, etc.
- Experience use finite element analysis (FEA) software
- Participates in and fosters a work environment that is based upon openness, trust, communication, teamwork, empowerment, innovation, and satisfaction.
- Basic skill in oral and written communication.
- A minimum of 15 years of experience designing machines, mechanisms, stress analysis, etc.
- Experience with interactions with fabrication and machine shops.
- Working understanding of Geometric Dimensioning and Tolerancing (GD&T)
- Familiarity with wind tunnel model design and fabrication
- Familiarity with turbine and rocket test cells, wind tunnels, space chambers, and/or arc heater facilities; or other industry product test facilities is desirable.
- Experience with injection mechanisms
- Experience with positioning and control systems
- Experience with prototyping and checkouts
- Experience with ANSYS FEA software package
- Experience with AUTODESK INVENTOR CAD software
Due to Air Force Security requirements, U.S. Citizenship is required for employment at AEDC.
NAS is an Equal Opportunity Employer of Minority/Women/Veterans/Disabled (AA/EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, pregnancy, physical or mental disability, citizenship, genetic information, protected veteran status or any other characteristic protected by federal, state or local law. Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to firstname.lastname@example.org.
PLEASE DO NOT SUBMIT RESUMES to this address as they will not be considered for employment opportunities.
Machine Operator I / II 3Rd Shift -Pack
The packaging production line Machine Operator performs a variety of functions including but not limited to the operation of high speed packaging equipment, completion of daily production and/or QA paperwork. Ensures work is completed in a safe manner and within the quality parameters established.
Responsible for safe operation of packaging production line(s) to deliver a product that meets the customers' expectations. Follows Safety and Quality Assurance rules and procedures.
Sets packaging machine to appropriate specifications as found in computer or specification logs, and ensures production line has appropriate equipment, configuration, and materials such as x-ray machines, adequate conveyor adjustments, correct packaging film
Inspects equipment for safety and use by all equipment employees.
Sets up scales, checkweigher and metal detector correctly and monitors their operation during shift
Ensures daily production is ran according to sequence stated in the batch cards
Operates laptop computer to produce labels or placards for each run
Ensures lot numbers from packaging materials and blended product are recorded on batch card
Ensures packaging machine is filled with appropriate finished blends
Ensures correct packaging materials are used for each product, in accordance to specifications, and replenishes materials as needed (i.e. roll of film, labels)
Ensures that all packaged product goes through metal detector
Performs net weight checks
Performs packaging integrity checks and labeling checks
Ensures appropriate pattern and count is followed by all Packers who palletize product
Follow allergen control procedures
Performs machine wash between production change-overs and validates proper cleanliness by following specific change-over procedures
Retools equipment during changeovers
Follows GMPs & Safety rules and policies
Other duties as assigned
Follows job rotation in assigned line to support Packers
Moves packaging materials and supplies to production line as necessary
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions.
High School, required.
Knowledge and experience in Food Industry, a plus.
Previous experience with GMPs and other Food Safety and Quality requirements, preferred.
The physical demands described here are representative of those an employee should possess to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
(All-Fill Lines Only) Must be able to lift up to 52 lbs. safety without assistance, above 52 lbs. and up to 80 lbs. with assistance
Must be able to climb stairs occasionally during the shift
Ability to bend, stoop, push, pull, grasp, reach, kneel, twist frequently during the shift
Ability to walk frequently within department, and ability to stand during the entire production shift
Ability to follow Safety Rules and requirements when working in dangerous areas or with power equipment
Ability to learn to accurately read and understand batch cards
Ability to use a calculator to perform basic math equations for precision measurements
Ability to work from written and/or verbal instructions
Ability to work with others and as a team
Ability to learn while training with an experienced Packaging Machine Operator
Ability to use a utility knife safely that will be provided by the company
Must have visual acuity to perceive difference in color, and to operate machinery
Ability to work indoors in a mixing production facility and to be exposed to the smell and dust of different raw spices as these are being blended into commercial formulas.
Packaging high speed production line/equipment. Lift for role of film, pallet jack, laptop and label printer, tools to retool production line during change-overs, personal protective equipment as indicated for each area and product.
We are an Equal Opportunity/Affirmative Action (EEO/AA) Employer. All qualified applicants will receive consideration without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, status as a protected veteran, status as an individual with disability, or any other protected group status or non-job related characteristic as directed by law.
Specialist Director, Machine Learning, Data Scientist
Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.
KPMG is currently seeking a Specialist Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.
Lead Data Science and Machine Learning intensive engagements with focus on client delivery and project management of teams with data scientists, data engineers and business consultants; develop Machine Learning focused agile project plan for engagements spanning few weeks to months with a focus on incorporating proven execution models for successful delivery
Translate advanced business analytics problems into technical approaches that yield actionable outcomes and recommendations in diverse domains such as financial services, marketing, supply chain, customer engagement, technology process and policy and controls optimization; lead workshops around emerging technologies in associated areas of Machine Learning with both business clients and technical clients
Understand and architect enterprise-scale Machine Learning pipelines including real-time feature extraction, online experimentation platforms, Multi-variate Regression testing frameworks, Continuously Learning Models and Human-in-the-Loop design patterns
Design and deliver hybrid cloud Machine Learning solutions, which rely on microservices framework and containerization for ease of deployment and scaling
Analyze structured and unstructured data, understand and implement algorithms, and support analysis using advanced statistical and mathematical methods from emerging areas in pattern analysis, machine learning, deep learning, data mining, econometrics, and operations research
Perform statistical analysis on multi-modal data and be able to use state-of-the-art techniques for feature extraction and processing, including the use of Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis as part of the overall Machine Learning initiative set forth for the engagement
Minimum twelve years of experience leading teams of ten or more data scientists, engineers and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; solid engineering and coding skills as part of previous experience is highly preferred
Master's degree in Computer Science, Engineering, or related fields from an accredited college/university; PhD preferred
Proven track record leading and delivering engagements that demonstrate leading practices in data discovery & cleaning, human-in-the-loop pipelines, model selection, offline and online evaluation, model validation & governance, model bias & skew analysis/mitigation, and model deployment
Demonstrable critical capability to work with the business to understand business goals, assess client needs, translate technical concepts for business teams, and ability to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; experience going through the entire proposal process (responding to RFP & RFI, authoring the proposal, assembling timeline, budget, personnel etc.) is a plus
Demonstrable industry experience in architecting, coding, guiding and delivering artificial intelligence methods using object-oriented programming languages through an industrial-scale software development process, and ability to restructure, refactor, and optimize code for efficiency
Experience in Python, Java, C++, Scala, R, Spark, Hadoop, Azure, GCP, AWS and other diverse technologies
Ability to travel up to 80% of the time
Must be legally authorized to work in the United States without sponsorship of a visa
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
Manager, Machine Learning Engineer
Manager, Machine Learning Engineer Job ID: 2019-21613
Long Island City, NY
Join the data science team at a4 Media as a Data Engineer. a4 Media is an innovative advanced advertising and data company located in New York City that provides audience-based, multiscreen advertising solutions for national and local ad clients. We use big data and statistical & machine learning models for smart advertising apps, business intelligence, and operations purposes. Collaborate in a horizontal team reporting to the Director of Data Science, comprised of two specialist roles: Data Science Modelers and Data Science Engineers (data engineer).
You will work hands-on to help specify project requirements, create big data pipelines, ingest – wrangle – explore – clean data, visualize & articulate initial exploratory insights, load data to a data processing platform for data science modelers, and help implement the team's results by collaborating with IT, Data Management, and DevOps.
Exceptional hands-on SQL & NoSQL querying and Python coding to wrangle, explore and clean big data.
Exceptional hands-on experience building complex automated ETLs.
Strong experience creating data pipelines with open-source tools, such as ApacheNiFi, AirFlow, Kafka, etc.
Strong experience with big data database environments, such as BigQuery, Redshift, Hadoop, Elasticsearch, etc.
Strong experience with big data processing systems, such as Openstack, AWS EC2, Google Cloud Platform, etc.
Experience with UNIX shell scripting.
Experience with containers & orchestration, such as Docker, Kubernetes, Mesos, etc.
Experience with graph databases & frameworks, such as like Datastax, Neo4j, Neptune, JanusGraph, etc.
Hands-on querying with graph languages such as Gremlin, Cypher, etc.
Experience with SDLC and CI/CD infrastructure, such as GitLab, Jenkins, etc.
Visualized data using Google Data Studio, Tableau, etc.
Created project requirements.
Analyzed data to provide insights and business recommendations.
Written and verbal communication skills.
3-6 years of related professional experience.
Bachelor's Degree or higher in related field.
Website or app development a plus.
Advertising, media or marketing experience a plus.
Data science degree or certification a plus.
Experience working with data science modelers a plus.
Come Build Your Career Under OUR Roof
The GAF Baltimore Plant is looking for a Production Machine Operator to assist in the production line where needed. Duties will include but are not limited to machine operation, quality verification, packaging, housekeeping & forklift operation.
o You must have a commitment to Safety and Quality.
o You must have a high school diploma or equivalent.
o You must be willing to work 7 days a week on a rotating shift with short change overs.
o You should have at least 1 year of machine operating experience in a high speed process.
o Must have mechanical aptitude.
o Must be able to process raw materials through machines using HMI's.
o You must pass a drug screen.
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
The employee occasionally works in high places when assisting with thread-ups and above the floor level on catwalks and/or stairs, and is exposed seasonally to hot and cold weather. The noise level in the work environment requires hearing protection.
At GAF, we believe our employees are our greatest resource. We offer competitive salary, benefits, and vacation package for all full-time permanent positions.
GAF is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Must be eligible to work in the U.S. without current/ future need for GAF visa sponsorship.
We believe our employees are our greatest resource. We offer competitive salary, benefits, 401k, and vacation packages for all full time permanent positions.
We are proud to be an equal opportunity workplace and GAF, SGI, and Siplast are proud to be affirmative action employers. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know. If applying for positions in the U.S., must be eligible to work in the U.S. without need for employer sponsored visa (work permit).
rms Surgical is a single-source provider of custom instrumentation and sterilization cases and trays for the medical device market. Complete design capability complements the sterilization case and tray manufacturing with an emphasis on fast turnaround of prototype and production requirements. The instrumentation manufacturing is supported by dedicated prototype capability and design for manufacturability support.
rms Surgical, a Cretex Medical Company, emerged from rms and JunoPacific, leading medical device manufacturing companies with a worldwide reputation for providing precision machined implants and other devices to the medical device industry. Join our dedicated team of professionals!
We are looking for a Machine Operator to join our 2nd shift team (4:00pm-2:45am Monday-Thursday).
Performs the assembly of product on various machines to a finished product. This may include running production CNC Mills, Laser Markers, Spot Welders, and other production equipment. Must possess the ability to learn and use different types of machines such as; laser markers, spots welders, and miscellaneous metal fab equipment. Must accurately perform and complete inspections, sorting, and packing of parts.
Essential Job Functions
Operates production equipment to include: timesavers, mills, spot welders, riveters, laser markers, and other equipment as needed
Inputs data into the job tracking software system
Ensures the correct program is loaded for laser and robotic equipment
Accurately loads parts into fixtures for Mills and laser marking operations and/or other equipment
Troubleshoots the machine and investigates machine issues during production runs
Performs visual and measurement inspections and accurately documents the results
Interprets blueprints, follows control plans, and completes IPI's and PPI's
Follows manufacturing and quality procedures and complies to the documented requirements
Maintains inventory levels and production plans/rates
Assists in the packaging of product
Performs secondary operations to include: cleaning, tumbling, and passivation
Enters production information and logs time per part into the ERP system on a timely basis
Participates in required company meetings as directed by the area lead
Works as a team member on the production floor, assisting others as needed
Maintains an organized work area (5S) to include workstations, equipment, walkways and locker rooms
Understands and complies with the Cretex professional competencies, company policies and employee manual
Adheres to all safety policies, including wearing ear and eye protection where required
Minimum Requirements, Education & Experience (incl. KSA's and certifications)
Ability to comprehend and follow work instructions, SOP's and training documents, including the ability to create and document new processes
Ability to use hand tools such as a micrometer, pin gauge, caliper and dial indicator
Ability to troubleshoot and maintain equipment
Excellent shop math skills to include: fractions, decimals, addition, subtraction, multiplication and division
Basic understanding of Microsoft Office (Word/Excel) and ERP systems
Basic understanding of geometric dimensioning and tolerencing (GD&T)
Ability to prioritize work and manage multiple tasks when needed
Ability to take direction from the area lead or supervisor
Ability to provide input to the area lead and participate in department meetings
Ability to cross train in other areas of production when required
Dexterity and hand and eye coordination
Attention to detail
Strong problem solving skills
High school diploma or equivalent
Desirable Criteria & Qualifications
1-2 years of experience in a manufacturing environment, preferred
Diploma in a machining related course from a technical or trade school or equivalent experience, preferred
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