Milker Machine Job Description Sample
Machine Learning Engineer
ZEFR is hiring! We are hiring a Data Scientist to be involved in building and optimizing large-scale systems to acquire, process, store, and understand multiple terabytes of YouTube and other social media data. This role is an important part of the rapidly growing demands of being the leader in VideoID technology for content owners and brands. In this role you will use advanced natural language and computer vision techniques to extract and understand tens of millions of rows of data. We are really looking for someone who is passionate about cutting edge research in the machine learning field. We want an individual who is able to digest research papers and implement interesting ones. This is a role where we both expect to learn from you and have you learn from us!
Here's what you'll get to do:
Participate as a member of the Data Science team, work closely with other data scientists, engineers, and product managers
Design, implement, test, and productionalize both supervised and unsupervised machine learning models
Make use of NLP and image processing algorithms to help better understand our data
Prototype creative solutions quickly, test theories, evaluate feature concepts, and iterate rapidly
Get your models into a large scale engineering system including automatic retraining and model deployment.
Here's what we're looking for:
A degree in a science discipline. While Computer Science and related fields are common we are actively looking for individuals who have demonstrated their saavy in data in other fields as well. A strength in Machine Learning, Information Retrieval, Natural Language Processing, and Image Processing is a plus.
Ability to think critically about an ill posed problem and come up with creative solutions
Desired experience in developing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with large data sets
Desired experience with large-scale data analysis frameworks: Hadoop, Spark, SQL
3+ years of experience with at least one dynamically typed language, and one statically typed language. Here at ZEFR we make use of primarily Scala and Python.
Cloud computing infrastructure on Amazon is a plus
Foundation in data structures, algorithms and software design
Openness to new technologies and creative solutions
OverviewMACHINE OPERATOR HOUSTON, TX As one of North America's largest independent manufacturers of consumer packaged goods ("CPG"), KIK helps a large portfolio of brands and retailers bring their products to life. With leading positions in the multibillion household and personal care, over-the-counter, and pool additives categories, we maintain close relationships with over 70 global CPG customers and virtually every relevant major North American retailer. We have full-service capabilities covering end-to-end contract manufacturing, including project management, innovation and R&D, sourcing and procurement, blending and compounding, filling and packaging, supply chain and distribution, and quality control. Our manufacturing model is highly flexible and we consistently add value to our customers by leveraging our range of services and expertise. KIK has over 5,000 employees and operates 19 manufacturing facilities strategically located throughout North America and over $1 billion in sales; KCP (operating as KIK Custom Products) is one of North America's largest custom manufacturers of both National Brand and Retailer Brand consumer products. KCP's product lines include Laundry, Household Cleaners, OTC Medicated, Pharmaceutical and Health & Beauty Care, all supported by KCP's in-house technical expertise and value-added services. KIK Consumer Brands – Household Division Our Household Division ("Household") is the #1 player in North American private label bleach, and supplies private label cleaning programs to prominent American retailers. Although Household started as a small bleach plant in Concord, Ontario, we have since expanded to a network of 8 plants strategically located across the United States to efficiently manufacture a variety of cleaners for both hard and soft surfaces. . In addition to its private label portfolio, Household manufactures and markets Greased Lighting® and The Works® branded products Essential Job Functions- Operate various high speed liquid filling machinery including but not limited to fillers, labellers, cappers, palletizers, depalletizer's case erectors, and heat induction sealers case erectors, etc.
Examine and act on production orders to determine quantities to be manufactured, job specifications and or special instructions.
Maintain time and production records.
Maintain quality standards.
Conduct basic troubleshooting on the assigned equipment and perform minor equipment adjustments and changeovers.
Follow Safety /GMP guidelines.
Comply with PPE, Good Manufacturing Practices, Standard Operating Procedures, Safety Standards, and follow all plant policies and procedures. Qualifications- 1-2 years' experience as a Machine operator in the packaging industry.
Production knowledge of raw materials, production processes, quality control and other techniques for effective manufacturing preferred.
Must be able to verbally communicate, read and write in English.
Basic mathematics skills required.
Must be able to take direction and work unsupervised A Career with KIK Offers: KIK offers very competitive salary and comprehensive benefits including health, wellness, dental, vision, life, and disability insurance. You can plan for your future with KIK's retirement savings options including employer match. KIK also recognizes the importance of continuing education and offers Education Assistance to our employees to encourage continued personal development and growth. Thank you for your interest and consideration of a position with KIK Custom Products. KIK is an Equal Employment Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regards to race, color, religion, sex, or national origin.
Intern - Computer Engineer, Devops And Machine Learning
The purpose of this internship is to prepare college juniors and seniors for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization to include theory and practical application of attained knowledge.
Project work will differ in each area depending on business needs, and all interns will participate in the US Zebra Internship Program. The program is designed to provide you with a full experience so that you can fully envision a career with Zebra. You be positioned for success with training, exposure to all parts of the business, social activities, a professional mentor relationship and development sessions to help you discover your own performance edge!
The DevOps Engineer will be part of a team developing and supporting a customer and partner facing cloud based Big Data platform. This platform gives our customers, partners, and professional services teams valuable insights to increase productivity, efficiency, and ROI. Using some of the latest technologies like IoT, Predictive Analytics, Machine Learning and modern data collection mechanisms our platform gathers operational and support information for analysis and provides consolidated and actionable information to help our customers and partners manage their devices in the field. In this position you will working with the team to build, improve, and manage automated pipelines that support our development, testing, and production services. You will interface with all members of the team and members of other teams that maintain supporting applications and system.
Help develop, improve, and manage automated development pipelines
Develop and maintain continuous integration and deployment mechanisms
Interface with QA to build and maintain automated testing in the development pipeline
Utilize containerization to make the deployment and testing process repeatable
Utilize Blue Green production deployment mechanism to make it error proof
Develop and provide system performance and status reports as required by business unit
Interface with support for issue resolutions
Perform root cause analysis of issues and prepare mitigation solutions
Develop planning, organizational and time management skills.
Increase technology knowledge and skills.
Develop team-based work competencies.
Develop interpersonal skills to communicate with employees.
Develop interpersonal skills to communicate with day-to-day business contacts through follow up activities.
Develop interpersonal skills to communicate with external and external customers.
Current enrollment in an undergraduate/graduate degree program in a discipline related to the project specifics. If an undergraduate, must be at the junior or senior level
Strong knowledge of Amazon Web Services setup and administration: VPC, Subnets, EC2, EMR, ELB, S3, Hadoop, Route53, WAF, IAM, AD etc.
Strong background in Linux/Unix Administration especially in a cloud environment. Redhat experience preferred.
Intellectual curiosity with a strong desire to learn and grow
Proven leadership and excellence in professional, academic and/or extracurricular experiences
Strong problem-solving abilities
Effective verbal and written communication skills.
Strong interpersonal skills
Ability to collaborate as part of a team
Proficient in Microsoft Office (including Excel, Word, & PowerPoint)
Knowledge of container technologies like Docker and Kubernetes for development and production environments is a plus
Experience or exposure to IoT technologies on AWS is a great plus
Experience or exposure to Machine Learning on AWS is a great plus.
Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship
Senior Natural Language Processing/ Machine Learning Engineer
Hi, we're Oscar.
We are changing how health insurance works. Our goal is to make health insurance simple, transparent and human. We need your help to do so. We brought together leaders from top technology, service and healthcare companies to work side by side to disrupt health insurance. The result? Better people, better ideas, and better healthcare.
About the Role:
Our goal is to make healthcare simple, transparent, and human. In Engineering, we do that by building reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for everyone -- members, providers, and (yes!) ourselves.
As a Senior NLP/ML Engineer, you'll be helping us bridge the gap between complex medical terminology and human conversation. We're working on projects like an enrichment layer (including named entity recognition) for our medical terms/doctor search, intent classification of the messages our members send to customer service, and a question/answering service for helping members and customer service teams navigate complex insurance issues.
We take pride in our ability to move quickly (deploys > 100/day), our small teams (engineers <= 5),="" and="" our="" willingness="" to="" tackle="" big="" problems="" (frequency="=">=>
Define, prototype, and evaluate machine-learning models, and deploy those models within production services, complete with testing, monitoring, and alerting.
Learn new languages and technologies as needed. Our stack includes Python, Golang, RDS, BigQuery, elasticsearch, and more.
Mentor junior colleagues through code and design reviews, and spread your statistical computing expertise.
Help us identify high-value business opportunities for applying machine learning and natural language processing by collaborating and communicating with various teams across the organization, both technical and non-technical. Equally important, help guide technical designs away from statistical approaches when heuristic methods are more appropriate.
You've been programming professionally for 5+ years (or 3+ and a relevant PhD).
You have a good understanding of the following: distributed systems, microservices and APIs, data structures and algorithms.
You know how to apply standard implementations of machine learning and natural language processing algorithms (e.g. those available in scikit-learn, tensorflow, theano, keras, spacy, nltk, or similar), evaluate their performance, and choose suitable models.
You have deployed machine learned models to production, and have been involved in writing APIs/services around those models and monitoring/analyzing their production performance.
You know how to explore the tradeoffs of using a pre-trained model or API, versus an off-the-shelf model trained on custom data, versus a customized model.
You care about what you do.
You care about what we do.
Nice to haves:
You have worked on problems/domains like multi-label classification, named entity recognition, question/answering, search, or recommendation systems.
You have experience with augmenting small training sets (for example applying techniques such as oversampling, active learning, etc.)
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we work to cultivate an environment where exceptional people can be their most authentic selves and find both belonging and support. We're on a mission to change healthcare -- an experience made whole by your unique background and perspectives.
Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (email@example.com) to make the need for an accommodation known.
Pay Transparency Policy: Oscar's Pay Transparency Policy ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
Machine Operator - Growth Potential - Apply Today!
Are you a team-oriented individual who enjoys working in a collaborative environment? Are you a good communicator as well as quality driven and attentive to details? Then we have the ideal position in a well-established, industry leading organization for you!
This position encompasses a variety of roles and requires you to be a process driven, detail-oriented, and the ability to produce results. If you have a passion for organization, experience in a wood shop or machine shop and the ability to learn a variety of Machines and wood species this job is for you!
This job position is a full time 40 hours a week plus minimal overtime as required. The hours are anywhere from 7:00am to 5:00pm. The job position is located in Troy, Michigan. Close to I-75 & between 15 and 16 mile road.
About Oakwood Veneer
Oakwood Veneer Company is an established manufacturer and distributor in Troy, Michigan. Woodworkers shop with us because they know that they are working with wood veneer experts.
We pride ourselves on our quality product, extensive in-stock wood species, and remarkable customer service. We are rated 4.8 out of 5.0 in customer service by an independent polling service. Our goal is to treat our employees as well as we treat our customers.
Your Life as a Machine Operator.
Working in and for our process driven and productive machine shop area you will learn to operate up to 10 different veneer machines as well as hundreds of wood species and grades. If you have prior wood shop or machine shop experience that would be a plus.
Your overall role at Oakwood Veneer will be to utilize your experience and skill set to provide process driven results. This is your daily opportunity to showcase your ability to produce quality material in a process driven environment.
Strong oral communication skills.
Relevant Machine shop or wood shop experience or ability to learn on job.
Strong attention to detail
Ability to work independently and with a team
Ability to lean many different machines safely and competently.
Ability to learn hundreds of different wood species and grades.
Paid Time Off
Generous Tuition assistance.
Amazing hours - (between 7am to 4pm for most shifts)
Friendly yet productive work environment
Many many more.
Staff Software Engineer - Machine Learning
Our goal is a safer commute, a safer work zone, and safer missions. We tackle tough problems head-on. We’re looking for talented, driven people who want to roll up their sleeves and make it happen with us.
About the Role:
We are seeking an Entry-Level Machine Learning Software Engineer to design, develop, and maintain machine learning algorithms for our self-driving vehicles.
- Design and implement the following:
- End-to-end pipeline for annotation, training and deployment of machine learning algorithms
- Services and dashboards for training progress and validation metrics
- Crowdsourcing pipelines for collecting internal and external annotations
- Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications
- Work with product owners and customers on understanding their learning applications, assisting with integration and providing ML expertise
- Produce high quality code that is unit tested, code reviewed, and checked in regularly for continuous integration
- Conduct technical investigations and prototyping in a fast-paced environment
- Strong communication skills, both written and oral
- Bachelor's degree in Computer Engineering, Computer Science, or related field
- 0-2 years of machine learning experience
- 2 years of software development experience
- Proven expertise in the following areas:
- Computer vision and machine learning
- Image processing
- Creating clean C++ code
- Object-oriented design
- Rapid development and prototyping in Python
- GPU compute
- Familiarity with at least one of the following, or similar platforms:
- MXNet, Caffe, TensorFlow, Keras, Torch, Dlib, scikit-learn
Machine Operator Iii-Dry Chem 1St Shift
Johnson Controls is a global diversified technology and multi industrial leader serving a wide range of customers in more than 150 countries. Our 117,000 employees create intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation systems that work seamlessly together to deliver on the promise of smart cities and communities. Our commitment to sustainability dates back to our roots in 1885, with the invention of the first electric room thermostat. We are committed to helping our customers win and creating greater value for all of our stakeholders through strategic focus on our buildings and energy growth platforms. For additional information, please visit www.johnsoncontrols.com or follow us @johnsoncontrols on Twitter.
STATEMENT OF JOB
The Dry Operator operates and controls the process for making a variety of different dry chemical blends and finished products. Dumps batches from Ball Mill or Littleford Blender, transfers product to various hoppers and performs process troubleshooting. May also be called upon to weigh out raw materials and prepare batch charges for Multi System and Ross Mixer. Transfers finished products from totes utilizing the tote tilt transfer system.
ENVIRONMENTAL, HEALTH, AND SAFETY OBLIGATIONS
Comply with the following Environmental, Health and Safety duties as a condition of employment:
Comply with safety rules
2 Person lifts are REQUIRED for any material or product over 40 lbs.
Vacuum lifts MUST be used to move bagged raw material
Attend and Participate in Safety Training
Participate actively in the safety process
Ask questions if something isn't known
Report all accidents and injuries immediately
Submit suggestions to improve safety
Insure load to be moved is stable and skid or pallet is sufficiently constructed and undamaged to support load.
Know responsibilities in the event of an emergency (i.e. what to do in the event of an alarm for fire, chemical spills, tornados, etc.)
Be a coach to others who are acting unsafely
Must have LO / TO locks
Attend and participate in all hazardous and non-hazardous waste trainings.
Ability to recognize chemical hazardous labels.
Spill management and clean-up.
Air shutoff locations.
Capability to follow satellite accumulation rules and requirements.
Proficiency to recognize hazardous wastes in your area and manage properly.
Must be 18 years of age and have a HS Diploma or equivalent. Must be able to read, write, understand and use digital and regular scales. Must be able to climb stairs and work at high elevations. Must have trouble shooting skills and be able to train and coordinate the work assignments. Must maintain a JCI / Tyco industrial lift truck license.
1.Prepares mills and blenders for charging by checking instruments, graphs, pumps, steam, temperatures, water and controls.
2.After milling, grinding or pre-blending, transfers batch to Littleford blender or ball mill and then to various hoppers for filling into tote bins, cartons, pails or bags.
3.Maintains process by monitoring batch processing and batch records.
4.Unloads air slide cars of bulk bicarbonate by hooking up to pneumatic conveying system.
5.Performs shutdown operations such as steaming the Ball Mill, cleaning grinder (visually inspecting screens for any problems) and shutting down the system for repairs.
6.When switching to a different dry chemical process, may need to do a system cleanout.
7.Operates lift truck to haul raw and finished materials and/or product to and from work area.
8.Troubleshoots and performs some minor maintenance on mechanical process equipment.
9.Checks raw materials stock to inform Supervisor and/or Material Control of low inventory levels.
10. Transfers finished product to bulk trucks or production floor.
11. Fill / palletize pails utilizing the robotic pail fill line(s).
12. Performs daily inventory of raw and WIP material. Reports inventory data to supervisor, group lead or cycle count personnel as required.
13. Become proficient with CNS removal, labor entry and other SAP transactions.
14. Operates tote tilt transfer system(s) insuring internal customers do not run out of material.
15. Assists maintenance with trouble shooting and breakdowns.
16. Trains inexperienced operators on all duties
17. Works closely with other shifts to insure plant(s) runs at peak efficiency.
18. Accurately tracks, documents and maintains all applicable paperwork. IE: Downtime logs, batch record sheets, shift to shift communication log and other data as requested by the area supervisor, group leader or engineer.
19. Performs housekeeping and other duties during blend cycles or when a break down occurs. Other duties such as painting and special projects may be assigned by the supervisor, group leader or engineer.
Technical Machine Operator
Royal is a diverse manufacturer of injection molding, urethane foam and assemblies. We serve the automotive, furniture, and consumer products industries. Royal is growing and we are looking for talented individuals who want to make a difference!
We offer great benefits including:
- No Sunday work
- Quarterly bonuses based on profitability
- Ownership in the company through our ESOP plan (Employee Stock Ownership Plan)
- Outstanding health and dental insurance
Responsibilities will include:
- Working in a fast pace manufacturing environment
- Ability to read, understand, and follow operator instructions
- Basic troubleshooting responsibilities
- Through training…
- Performing setup work on injection molding machines. This includes cleaning of molding machines and associated equipment, fine-tuning and adjustment of machines according to part being produced and color changes.
- Setting up auxiliary equipment during changeovers. This includes air tools, date stamps, conveyors, etc.
- Cleaning hoppers and grinder, purging old material
People who succeed at Royal are those who share the values of our company: Integrity. Stewardship. Teamwork. Hard work. Excellence.
We're committed to being the employer of choice. Our goal is to build a culture of commitment where everyone is respected and valued. Where everyone participates. Where everyone matters. We give our employees the responsibility -- and the authority -- to make decisions. We try to provide the best possible work environment. We encourage creativity. We applaud ingenuity. We reward problem solving.
And we recognize that we are only a part of our employees' lives. Our culture embraces the family. We celebrate accomplishments -- both inside the workplace and out. We aim to replicate the family structure on the manufacturing floor by establishing work teams committed to one another -- and to our customers.
Are you ready to make a difference? Apply today! Royal offers a competitive wage and benefit package - including quarterly bonuses based on profitability, outstanding health insurance, ownership in the company through our ESOP (retirement) plan, and much more.
Tech Machine Oper, Entry Woodshop Laminating&Sizing 2Nd Shift
Sets up, modifies existing programs, and/or operates computer numeric controlled equipment to promote safe, efficient operations.
Sets up and operates technical equipment.
Sets up and operates computer numeric controlled (CNC) equipment.
Must be able to read prints and measuring devices.
Must be able to help troubleshoot equipment.
Requires some guidance from Team Leader or Production Supervisor.
Checks product for quality and completeness.
Places parts in specified relationship to each other.
Works at different workstations to meet production requirements.
Works under direct supervision on duties and tasks that are standardized, selecting from written instructions and established procedures.
Resolves routine questions and problems, referring more complex issues to higher levels.
Must be able to work under minimal or no supervision.
Minimizes the scrapped material being produced by machinery.
Follows all the safety regulations and procedures. Identifies potential hazards in the work area.
Performs all duties of production associate.
Attends all scheduled safety meetings.
Maintains good housekeeping in work area.
Must be able to use and read tape measure.
Must be able to read and follow production work orders.
Reports type and quantity of parts made or worked on.
Performs overtime as assigned.
Performs other duties as assigned.
A minimum of a high school diploma or equivalent plus prior technical experience is preferred.
Good communication skills, good basic mathematical skills, and good analytical abilities.
Good teamwork skills, able to meet quality requirements, flexible, and able to meet and maintain performance standards.
Must be flexible with required working hours, including overtime.
Must be flexible within the department and willing to flex to other departments as needed
Must be able to routinely lift up to 50 pounds to shoulder level and to occasionally bend and/or stoop. Must be able to stand for a minimum of 8 to10 hours. Must be able to use a computer, tape measure, 2-wheel dolly, 4-wheel dolly, pallet jack, electric drill, and air drill. Will be required to wear proper protective equipment including, but not limited to, protective eye and/or hearing equipment to safely perform job duties. Must be able to work in and adjust to varying temperatures and associated environmental factors, and to adapt quickly to physical applications requiring varying motor skills.
Occasionally required to sit
Frequently required to walk
Constantly required to stand, bending neck and wrist
Never required to squat, climb, kneel or crawl
Repetitive use of hands
Constantly requires grasping, power grasping, manipulation, pushing, pulling and reaching with the hands
Occasionally lift 75 to 100 lbs
Occasionally carry up to 75 lbs
Occasionally required to operate forklift
Never required to walk on uneven ground
Exposure to excessive noise, extreme temperatures, humidity, wetness, gas, fumes, dust & chemicals
Never works at heights
Requires operation of foot controls & repetitive foot movements.
Must wear required safety equipment
Never required to work with bio-hazards such as blood borne pathogens, sewage, hospital waste, etc.
(Management reserves the right to change, rescind, add or delete the duties and responsibilities of positions within the job description at any time.)
Machine Learning Engineer
Machine Learning Engineer
CBS BUSINESS UNIT: CBS Interactive
JOB TYPE: Full-Time Staff
JOB LOCATION: New York, NY
CBS Interactive is the premier online content network for information and online operations of CBS Corporation as well as some of the top native digital brands in the entertainment industry. Our brands dive deep into the things people care about across entertainment, technology, news, games, business and sports. With over 1 billion users visiting our properties every quarter, we are a global top 10 web property and one of the largest premium content networks online.
Check us out on  The Muse,  Instagram and  YouTube for an inside look into 'Life At CBSi' through employee testimonials, office photos and company updates.
CBS Interactive seeks a Senior Software Engineer for our online television and media focused web properties. In this role, you will support infrastructure and platforms that serve our customers. We have diverse infrastructure that are moving into the cloud at a rapid page. With this migration comes a lot of data generated by systems in the cloud with patterns. This is a great opportunity for a seasoned Engineer to detect patterns and use ML to optimize our systems. You have experience with being on-call and thrive on ML systems in the cloud.
Lead the design, implementation of our public Cloud infrastructure including CI/CD, provisioning, sizing, and Infrastructure as code
Implement monitoring platforms across infrastructure, applications and networks
Support our development teams across multiple properties in an AGILE environment
Build infrastructure that detects patterns with the vast amount of data
Build self-healing systems
Work with the AI/ML teams to detect patterns and build self-healing systems
Provide automated ways using ML to optimize the infrastructure
Help achieve better cost optimizations using ML
What you bring to the team:
You have -
Bachelor's degree or equivalent experience
3+ years programming experience in languages like Python or Java etc.
2+ years' experience setting up/managing ML workflows
1+ years' experience with AI/ML technologies in the cloud like TensorFlow etc.
Attention to detail and ability to manage multiple projects
Demonstrated ability to work with 3rd parties and collaborate on solutions
You might also have-
Past experience working on the public cloud like AWS or GCP
Implementation of ML in AWS or GCP using cloud agnostic tools like Terraform.
Equal Opportunity Employer Minorities/Women/Veterans/Disabled
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