Knitting Machine Fixer Head Job Description Sample
Knitting Machine Operator
- Assure the proper supply yarn is on creels.
- Assure yarn is properly creeled. “Knots” should be small and “Tails” should be short.
- Assure the machine and creels are clean and threaded correctly.
- Maintain high level of housekeeping at all times.
- Yarn should be off boxes, empty boxes and cardboard relocated to designated location.
- Separators must be put up out of the aisles and doorways.
- Empty cones off floor
- Entire area free of lint and oil
- Floor swept and clean
- Following style change (or lot change with dyed yarns), knit the first roll and hold machine until quality check in inspection is confirmed okay.
- Continuously visually check machine and fabric for defects.
- Fill out knitting ticket properly and completely which includes defects on tickets.
Pay Range - $9.50 - $16.25
Medical, Dental, Vision, Life, STD/LTD, 401K Retirement Plan, Bring-A-Friend to work campaign ($1000), Perfect Attendance Awards, Bonus.
Head Of Machine Learning, Payment Products
Ready to lead a team of Applied Scientists for Amazon's Payment Products? We are searching for a Head of Machine Learning to create new ML applications and expand our current capabilities.
The Amazon Payments Team manages all Amazon branded payment offerings globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products.
Our payments products (Amazon Co-Branded Credit Cards, Private Labeled Credit Cards, Shop with Points and Currency Conversion) provide the most innovative payment experience on and off Amazon. We manage a financial services ad serving platform (100+ billions of impressions per year) through Amazon's purchase path where we offer Amazon branded and non-branded payment products and services. Our team of high caliber software engineers, machine learning scientists, research scientists, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value.
We leverage the wealth of Amazon's information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon's technological infrastructure to display the right offerings in real time. We work closely with product managers to understand their business, collect requirements and deliver high value analytics and insights for the Amazon Payments team that drive acquisition, usage and loyalty. Our petabytes of data has the ability to improve the shopping experience for hundreds of millions of consumers worldwide.
Our goal is to delight our customers with their purchasing experience. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the world.
We are looking for an outstanding people leader for our Applied Scientist team. Lead the team in putting Machine Learning theory into practice through experimentation and invention, develop new algorithms using machine learning techniques (such as deep learning, reinforcement learning, random forest, Bayesian networks, ensemble learning, clustering). Implement production code for learning systems and work with massive datasets.
You know and love Machine Learning and software development, can build machine learning models from massive complex datasets and can work with software developers and product teams owning customer experience. You are analytical, innovative, creative, disruptive, and you don't give up. In this role you will have an opportunity to improve our machine learning engine and ad serving platform that provide personalized customer experience at a massive scale.
You will also have the opportunity to display your skills in the following areas:
Use statistical and machine learning techniques to develop scalable solutions to address Amazon Payments Products business problem and improve ad serving platform.
Own the design, development, evaluation and deployment of new learning algorithms for predictive modeling.
Work closely with software engineers and data engineers to implement prototypes and production codes.
Conduct A/B tests to evaluate new learning algorithms and features.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Act as the point of contact and machine learning leader for the business. Represent the Machine Learning team inside and outside of Amazon Payments Products.
Head Of Machine Learning Research - Nlp, Speech, P13n
Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want "Happy rock from the 90s", can she help them find it?
Your machine learning leadership skills can help make that a reality on the Amazon Music team. We are seeking a Senior Applied Science Manager to lead a team of experts in the field of machine learning to break new ground in the world of understanding and classifying different forms of music, and create interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.
You'll work in a collaborative environment where your team can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy their algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish research. You'll see the work of your team directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.
The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, 7+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems, and 5+ years of practical experience managing one or more machine learning teams. Great if you have a passion for music, but this is not a requirement.
Lead a team that advances long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;
Develop and manage the long-term vision and portfolio of research initiatives for your team;
Manage the design, development and evaluation of highly innovative, scalable models and algorithms;
Lead experienced scientists as well as develop junior members from academia/industry to a successful career track in applied science;
Grow your team by hiring the best;
Project manage cross-functional projects;
Work with product and software engineering teams to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale.
Operator,Cold Head Machine I
I. Job Description:
Operates and monitors machine functions, Able to perform some set-ups and set-up adjustments. Records production output and charts process control data. Changes tooling as needed.
II. Essential Job Duties and
Operate Nakashimada PF 630 cold heading machine, 2 die and 3 blow.
Maintains machinery by following instructions on Maintenance Logs.
Receives and follows verbal and written instructions regarding duties to be performed.
Maintains production schedules and output.
Performs all other related job assignments and functions as assigned and/or required.
Must be able to perform some set-ups of machines such as cutting, labeling and wire stamping machines.
Must be able to use measurement instruments.
III. Skills and/or Experience Needed:
Some prior experience working with cold head machinery & equipment
Experienced with hand tools.
Able to operate semi-automatic machines
Must be able to verify work completed is per instructions given.
Must be able to understand and follow verbal instructions.
Must be able to read prints.
Must be able to communicate effectively.
Ability to follow instructions and perform necessary duties.
Must be able to verify work completed is per instructions given.
IV. Additional Skills and Experience Preferred (Not Required):
Able to read and understand MSOs and related paperwork.
Computer skills applicable to the position
V. Physical Demands:
While performing duties of this position, the employee is required to stand and walk for long periods of time, and is occasionally required to sit, bend, stoop, reach, talk and/or hear.
Good manual dexterity, able to pick up small parts.
May regularly be required to lift 20 lbs.
May occasionally be required to lift maximum of 50 lbs.
May occasionally be required to work irregular and/or extended hours.
Able to work in an environment that may be subject to occasional loud noises, hazardous materials, chemicals, etc.
Head Of Worldwide Machine Learning Business Development
Are you energized to create new markets for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technology? Do you love building new businesses? Are you excited to build and manage your own team of high performing business development professionals seeding new markets for ML platforms? Are you passionate about customer success?
AWS is seeking a Head of Machine Learning Business Development to define, build and lead the business development efforts at AWS to commercialize the AWS ML platform. As a senior leader on the AWS Incubation BD team that is responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities for new AWS services you will lead the BD team incubating the AWS ML platform.
You and your team will be the outward face of AWS ML. You will be the leading voice of AWS ML among our customer base. You will lead incubation and market development of the AWS machine learning platform including Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, Amazon Comprehend and the rest of the AWS ML portfolio. The Business Development Managers (BDMs) you will manage work with AWS sales and AWS solution architects directly on specific customer deployments. The team directly interfaces with the AWS ML product management and software development teams on customer and partner requirements. The ML business development team works closely with AWS business development, sales, marketing and partner teams to position the AWS machine learning platform for customers and partners, to provide guidance on the value proposition and to communicate the benefits customers can achieve with our ML services, platforms, frameworks and infrastructure. The Head of ML Business Development will be vital to ensuring smooth and effective cross functional collaboration by the ML BD team across these many other internal teams.
You will define the go to market strategy (GTM) for the AWS machine learning platform and lead your team of ML BDMs to execute that vision. The team defines and drives the process that the organization follows to accelerate sales and partner engagements of the AWS machine learning portfolio. Your team's work will directly help our customers to reinvent their own business models by harnessing the power of machine learning technologies. The BDMs on the team synthesize data and information gathered from these customer and partner engagements into the AWS GTM strategy for machine learning that will successfully commercialize the AWS ML portfolio. This entails deriving succinct findings, developing strategic insights, and persuasively communicating those findings and perspectives from customer engagements to product and sales teams, including senior management. The Head of ML Business Development will oversee this process across the team of BDMs and ensure that each BDM has developed the proper GTM strategy for their ML product and implemented the mechanisms to successfully track and execute that GTM.
The ideal candidate will possess a business and machine learning or data analytics background. And will have a foundation of having directly driven customer engagements and interactions at the highest levels of large enterprises and technology partners. The candidate will have the technical depth and business experience to easily communicate the benefits of ML services, platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, enterprise applications, and has done market analysis, deal negotiation and construction, and business operations. The candidate will have a background that enables them to create scalable programs that apply holistic approaches to selling to enterprises and enterprise partners. Finally the candidate will have experience managing high performance teams, ideally across virtual or geographical disperse teams.
Roles & Responsibilities:
Manages the team of AWS Machine Learning Business Development Managers bringing Amazon SageMaker, Amazon Rekognition, Amazon Transcribe, Amazon Comprehend, and the other AWS ML services to market;
Engages the team to define, build and deploy enterprise focused sales and business development campaigns around the AWS ML services offering;
Engages, supports and scales business development and sales teams across AWS to be capable of delivering the AWS machine learning platform value proposition to enterprise customers and partners;
Drives the team to engage and drive scale at engaging enterprise customers and partners directly about the AWS machine learning platform;
Proactive ability and expertise in setting customer discussions via AWS sales and partner teams;
Cloud managed services, machine learning and/or data analytics expertise and is experienced handling and scaling teams selling these technologies to enterprises and enterprise partners;
Exhibits expertise and drives field and partner readiness for enterprise customers;
Engages in senior level customer meetings to discuss customer's business issues and explores how the AWS machine learning platform can help address and resolve these issues;
Serves as an evangelist for the AWS machine learning platform within AWS, and externally;
Develops a standard market intelligence framework and dynamic analytic model to be utilized by the AWS sales, business development and marketing teams;
Bring the various stakeholders together to help build collective mindshare in augmenting the AWS machine learning platform;
Establish ways to measure and track metrics related to adoption of the AWS machine learning platform and to make improvements to the approach based on those measurements;
Prepare and give business reviews to the senior management team regarding progress and metrics.
Principal, Head Of Machine Learning, Payment Products
Lead machine learning at the intersection of fintech and adtech. Amazon's Payment Products business is seeking an experienced ML practitioner to develop our vision and roadmap for learning.
We are seeking a machine learning or applied science thought leader with academic and/or hands-on experience. As the Principal, Head of Machine Learning, you will develop and coach a team of talented machine learning scientists and research scientists.
You will lead your team in defining and executing new ML initiatives. As a true Amazonian, you will work backwards from the customer, improving our ability to surface the most relevant contents for each customer.
To be successful in this role, a strong foundation in programming and statistics is key. The right candidate will have a background in academia or industry, developing new methodologies and ML capabilities.
The ability to influence your peers and leadership will enable others to adopt your vision. The Principal will serve as a thought leader and collaborate with Amazon's global ML experts.
Head Of Machine Learning
Ibotta is looking for a Head of Machine Learning who will drive business value and growth by delivering strategic and innovative analytical solutions. The ideal candidate will be an experienced, collaborative and inspiring leader with a track record of attracting, recruiting, developing and retaining world-class analytical talent. You will partner closely with cross-functional leaders to define and execute a strategy to deliver scalable, production-grade analytical solutions that improve our customer experience and optimize revenue potential. This position will report to the VP of Analytics and Data Science.
What you'll be doing:
Lead and develop an agile team of 10+ machine learning engineers and managers
Work cross-functionally with product and engineering teams on large-scale projects that leverage Ibotta's unique data to deliver scalable, production-grade analytical solutions that improve our customer experience and optimize revenue potential; Examples:
Building recommender systems to create a personalized app experience for our users
Building models to inform and improve the search functionality within the app
Leveraging data from a wide variety of sources (purchases, app activity, demographics, geospatial, etc.) to build standard features that support machine learning models across the department
Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation
Inform the product roadmap and strategy to leverage advanced analytics and machine learning and be an internal champion for a data-centric culture
Research and implement new machine learning and data science methodologies and stay abreast of industry trends and standards
What we're looking for:
6 - 8 years of experience in data science, machine learning or advanced analytics with at least 3+ years of experience leading analytical teams
Strong track record of hiring, developing, motivating and inspiring advanced analytics talent
Demonstrated technical ability, conceptual thinking, and problem-solving skills
Excellent written and verbal communication skills and demonstrated ability to distill complex analytical solutions into actionable insights
Exceptional interpersonal skills with the proven ability to collaborate across functional areas to define, prioritize and ensure the continual improvement of analytical competency in support of business needs, efficiencies and driving revenue
Experience using modern data analysis tools (Python, R, SAS, etc.)
Experience with AWS and distributed big-data tools (Spark, Hive, Presto, etc.) a plus
Headquartered in Denver, CO, Ibotta ("I bought a...") is transforming the shopping experience by making it easy for consumers to earn cash back on everyday purchases through a single smartphone app. The company partners with leading brands and retailers to offer rebates on groceries, electronics, clothing, gifts, home and office supplies, restaurant dining, and more. Ibotta is the premier destination for rewarded shopping on mobile and has paid out more than $350 million in cash back to its users. Launched in 2012, Ibotta has 28 million downloads and is one of the five most frequently used shopping apps in the United States.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
This position is located in Denver, CO and includes competitive pay, benefits package (including medical, dental, vision), 401k, commuter stipend, and equity.
Ibotta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, and genetics.
Applicants must be currently authorized to work in the United States on a full-time basis.
Loom Fixer - Weaving - Hillsville, VA - 12 Hour Nights
Mohawk Industries is the leading global flooring manufacturer that creates products to enhance residential and commercial spaces around the world. Mohawk's vertically integrated manufacturing and distribution processes provide competitive advantages in the production of carpet, rugs, ceramic tile, laminate, wood, stone and vinyl flooring. Our industry-leading innovation has yielded products and technologies that differentiate our brands in the marketplace and satisfy all remodeling and new construction requirements. Our brands are among the most recognized in the industry and include American Olean, Bigelow, Daltile, Durkan, IVC, Karastan, Marazzi, Mohawk, Pergo, Quick-Step and Unilin. During the past decade, Mohawk has transformed its business from an American carpet manufacturer into the world's largest flooring company with operations in Australia, Brazil, Canada, Europe, India, Malaysia, Mexico, New Zealand, Russia and the United States.
Mohawk Industries, Inc offers a comprehensive compensation package that includes a wide variety of benefit options so that individuals can tailor plans that are right for him or her. Benefits include health care with prescription card, dental/vision, disability, life insurance, 401(k) plan with company match, employee purchase discounts, tuition reimbursement for undergraduate and graduate programs and much more.
Mohawk Industries, Inc. is an Equal Opportunity Employer committed to an inclusive workplace and a proud Drugs Don't Work participant.
EOE Minorities/Females/Protected Veterans/Disabled
Constantly patrols all parts of all machinery and checks for quality defects on section and makes overhauls, repairs, or adjustments as needed.
Perform all "check lists" type duties on style changes, new warps and maintenance looms. Supervisor may assign assistance as deemed necessary.
Performs preventive maintenance procedures on looms. Records all action on the proper forms, takes corrective action or makes recommendations for repair.
Inspect machine malfunction and woven cloth to locate problems, determine work to be done, repair, clean, adjust, lubricate, etc. as required to correct malfunction.
Repairs or replaces defective parts, adjusts tension and timing of parts using hand tools.
Levels and aligns parts to prevent excessive wear.
Assists the warp changer personnel on cleaning and start-up of looms at warp out.
Will perform routine cleaning duties.
Blow off designated looms once per shift to keep them free of dust, scrap, etc.
May be required to run a set of looms at times when we are short a weaver due to vacations, sickness, etc.
Assist weaver as needed in repairing stops and creeling fill yarn.
EDUCATION/EXPERIENCE PREREQUISITES:Mandatory – Must be able to read and write in manner indicated on application.Preferred – Weaving and good mechanical aptitude.
Circular Knitting Technical Product Developer
Spanx is a brand for women, by women. We obsess comfort, deliver results and ensure you look as good as you feel. We think forward, and give back. We believe that we are stronger together. And together, we will make the world a better place…one butt at a time.
Manage development of numerous styles across multiple seasons within all product categories
Determine yarn selection and knit structures based on Design direction and quality requirements
Communicate clearly and confidently with vendors regarding knitting techniques, yarns and chemical applications of sample garments
Lead garment fittings and determine necessary fit corrections, maintaining deadlines and working with cross-functional partners throughout development
Create and maintain technical packages in PLM from conception to production of garments: bill of materials, images, fit comments, specification sheets, label and pack pages.
Communicate yarn, knitting and fit corrections with domestic and international vendors
Measure and analyze garment samples, documenting measurements and quality in PLM system
Schedule fit models and organize fittings with corresponding team members
Report out status and updates daily with cross-functional partners
Bachelor's degree required. Bachelors of Science in textiles preferred
3-5 years of experience in technical development for non-woven garments. Circular knitting experience preferred
Ability to build collaborative cross functional relationships
Strong leadership skills and ability to make informed decisions
Proven ability to work in a fast-paced office environment and meet deadlines
Organizational skills to prioritize workload and motivation to advance Circular Knitting Team objectives
Ability to problem solve, gather and analyze information skillfully, develop alternate solutions Proficiency in Outlook, Microsoft, Adobe Applications, and PLM. Experience in circular knit program software a plus
VP, Head Of Data, Analytics & Machine Learning
Picture yourself adding your creativity toward game-changing innovation. Our businesses operate at the intersection of tax preparation and financial planning, and our competitive advantage lies in their unique combination.
With award-winning products and services through our TaxAct and HD Vest brands, Blucora is on the forefront of financial tech, turning taxes into opportunity for our consumers, small business customers and tax professionals. We have a culture of creating market disruption; a place where big ideas, and those who think them, can flourish. If you’re interested in being part of a team that dreams large, talks straight, and helps millions of customers every year build their financial future, then we should talk!
The VP, Head of Data, Analytics & Machine Learning is a senior leadership role that will have responsibility for building an integrated data vision for the company, building a robust data platform, delivering smart Business Intelligence, creating data driven insights, developing customer centric analytical products, and applying machine learning across Blucora and its two divisions TaxAct and HD Vest. This role will engage with the CEO, Presidents and others on the executive management team to share the vision and progress. This role will manage internal teams and external staff augmentation across data infrastructure, Business Intelligence, and Analytics and foster a customer-centric data driven culture.
Develop an integrated vision and end-to-end data strategy for Blucora and its two divisions TaxAct and HDVest with a strong focus on directly and indirectly creating value for our customers.
Partner with the technology teams, data/analytics vendors, and others to evaluate analytics solutions and build/enhance the data infrastructure in a phased manner aligned with the needs of our customers and the business.
Develop machine learning expertise and apply innovative applications of ML across the enterprise.
Build customer centric revenue generating data products using internal and external data.
Form external data partnerships to collect third party data, append it to internal data to create richer customer and team insights.
Build a team of data scientists and statisticians to do data mining, apply predictive analytics across the enterprise and across the customer lifecycle for TaxAct and HDVest that covers segmentation, acquisition, engagement, and retention.
Collaborate with product, marketing, innovation, operations and other stakeholders to support test & learn driven customer experience, product development, and execution.
Enhance business intelligence tools across the company to create richer data driven insights.
Coach, manage and develop the team to maximize performance, business impact and results.
Remain current on latest advancements in analytical trends, techniques and tools.
Other job duties as assigned.
Qualifications and skills:
Bachelor’s Degree business, management, accounting, economics, statistics, information science or similar required. Master’s degree desired.
Minimum of 5+ years as the Head of Big Data and Analytics across a company/division.
Minimum of 15+ years with progressive growth in machine learning, predictive analytics, BI, data infrastructure, or related fields.
Proven ability to build the vision for and lead an integrated data and analytics team.
Proven and strong experience working on customer insights and analytics in the digital marketing space.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate data in a succinct manner.
Intermediate to Advanced expertise with statistical modeling tools such as R, SAS, SPSS or equivalents.
Enjoy being challenged and to have a desire to solve complex problems on a daily basis.
Experience with large datasets, data modeling and SQL is required.
Strong understanding of Big Data (Hadoop), NoSQL software architectures.
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