Cementer Machine Joiner Job Description Sample
HB Rentals, a Superior Energy Services company, is the world's premier supplier of offshore and onshore housing and related equipment for the oil and gas industry. Since 1980, we have provided safe, reliable products to make living on the job an easier, more comfortable experience.
We are currently looking for a Joiner to join our team in Broussard, LA.
The Joiner performs all repairs, installations and remodeling of rental housing units and associated equipment.
Essential Duties and Responsibilities:
Conducts shaping or cutting of materials to specified measurements using basic hand tools;
Assists with the installation of insulation and basic paneling to ceilings and walls;
Study and interpret specifications in blueprint, sketches or building plans to determine dimensions and types of materials required for remodel and repair of temporary housing units;
Preps and installs mineral wool insulation and materials to meet A60 fire protection;
Preps and install standard fiberglass insulation materials;
Install and repair all steel products in the rental fleet including metal duct work, hard core and soft core complete wall Panel systems and "B" and "C" class ceiling systems;
Installs studs, paneling, FRP paneling, joiner doors, and moldings;
Fit and install all floor installation aspects including leveling, installing, repairing Azrock, Dex-O-Tex, Tarkett
Install A60, H60 exterior and "B" class interior doors;
Installs, repairs and refurbishes all "low fire load" interior furnishings such as bunks, desks, cabinets in rental fleet.
High School Diploma or GED required
Minimum of eighteen months related experience
Require hand tool experience with equipment of the trade.
Require metal duct work fabrication skills.
Experience in fire retardeant insulation and applications.
Must have a valid local driver's license with clean driving record
Must pass a physical, agility testing, and drug and alcohol screen
Ability to work weekends, holidays, nights and overtime as needed
Physical requirements: Prolonged standing and walking; bending, stooping, squatting. kneeling / crawling; overhead work; twisting/rotation; climbing stairs and ladders; good static and dynamic balance
Excellent Benefits: Medical, Dental, Vision, Disability, Life, Matching 401(k), Employee Stock Purchase Plan
Through participation in the E-Verify program, Superior Energy Services, Inc. electronically verifies the employment eligibility and Social Security Number validity of all new hires.
HB Rentals is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veterans.
The Frame Joiner is responsible for the joining and assembly of wall décor and custom frames. This position works in a team environment to accomplish the common goal of producing and assembling wall décor and custom frames for distribution. Employees will be trained in multiple disciplines including but not limited to: identifying various types of frame molding, accurate joining of frame molding, assembling and joining of frames, and production of wall décor and custom frames. Employees must be dependable, have a keen eye for detail and the ability to work at a fast pace.
Essential Job Functions The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with qualified disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands and fingers to handle or feel; reach for and carry objects with hands and arms; communicate verbally with co-worker sand management. The employee is required to stand; walk; and stoop, kneel, crouch or crawl. The employee is occasionally required to sit, climb or balance. Specific vision abilities required by this job include ability to see up close, differentiate between colors, proper depth perception, ability to adjust focus and keen eye for detail.
Must be able to lift items that weigh up to 50 lbs and are 10’ in height on a daily basis.
- Must be able to stand for long periods of time, reach above and below the shoulders, squat, bend and kneel as necessary to perform the job.
- Must be able to tolerate working in a fast paced environment.
- Must be able to tolerate working in an environment with a high level of noise.
- Must be able to accurately follow specific instructions for multiple detailed assembly process.
- Must be reliable. Must be able to work flexible hours depending on business demands.
- Must be able to focus in a high activity environment.
- Demonstrate proficiency in reading and interpreting of work orders and cut sheets
- Consistently meet minimum required production, accuracy or quality standards for the work performed.
- Consistently meet minimum performance standards as set forth by Company Management earn and demonstrate proficiency in essential job functions including but not limited to: identification of different framing materials, accurate cutting of framing materials and assembling and joining of wall décor and custom frames.
- Individually and in partnership with other co-workers, perform inventory production-line re-stocking
- Ensure that all warehouse equipment and tools are properly utilized to increase productivity, efficiency, and safety; report any unsafe conditions, damaged equipment or injury to self or co-worker to company management.
General Duties and Responsibilities
- Utilize proper techniques for lifting and handling of heavy objects, climbing ladders, and pushing/pulling pallet jacks. Ensure that work area is kept neat, clean, safe, and organized at all times.
- Maintain courteous and positive relationship with all co-workers and customers.
- 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 with disabilities to perform the essential functions.
- High School Diploma or GED preferred. Ability to demonstrate basic proficiency with scanners, printers, and computers.
- Ability to demonstrate basic proficiency calculating measurements and converting square footage.
- Previous experience with Pneumatic equipment including nail guns and staplers preferred.
- Previous experience with routers, skill saws and hand saws preferred
- Good verbal/written communication skills, basic math skills, and ability to read documents such as work orders, safety rules, operating instructions and procedural manuals.
- Ability to speak and read English.
Medical, Dental, Vision, Life, PTO, Paid Holidays
Machine Operator - Schriever, LA
Kelly Services, a global leader in staffing solutions, is seeking Machine Operators to work at an industry-leading Oil & Gas Services client at their Schriever, LA site! This is a 4-month contract opportunity to work at a well-known company in an exciting industry!
Pay: $13.00 per hour
Shift: 1st Shift
Anticipated Start Date: Monday, December 10th, 2018
Duration: 4 Month Contract Opportunity
Cementing of various downhole cement equipment.
Finishing and cosmetic work on downhole cement equipment.
Crating and painting of downhole cementing equipment
Reworking of downhole cement equipment
Grinding various pieces.
HS Diploma or GED
1+ Years of Machine Operator/Cement Finishing experience
Ability to operate overhead cranes and forklift
Ability to work with hand tools
Ability to use scale and tape measure
Please Note: This position is being recruited for by a remote Kelly Office, not your local Kelly Branch. For immediate consideration towards this position, apply directly to this job posting or e-mail your resume to email@example.com
Machine Learning Research Engineer - Cortex Applied Machine Learning
Machine Learning Research Engineer - Cortex Applied Machine Learning
San Francisco, CA
Who we are:
We are a community of Machine Learning Researchers and Engineers, working to improve Twitter through applications of ML in product areas such as recommendations, safety, abuse, ads. We operate at scale whilst ensuring fair and ethical use of our models and data.
We work as a team of specialists embedded within product teams, looking to apply the expertise of the individuals, and working with product teams to improve our products and unlock new capabilities.
What you will do:
Apply your research and engineering skills to either improve existing solutions, unlock new directions or provide entirely new solutions within Twitter. You will work closely with live production systems and product teams, and learn to deliver ML solutions at scale within the Twitter tech stack, whilst encouraging best practices for ML across the company.
Who you are:
You are interested in a range of applications of ML which could stem from media understanding to recommendation systems. You are passionate about the way we develop state-of-the-art technologies, how we apply them to products, and enjoy the challenge of overcoming real-world constraints. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role.
Masters' or PhD in a Computer Science or Machine Learning related degree; or equivalent work experience in the field
Good theoretical grounding in core Machine Learning concepts and techniques
Ability to perform literature reviews and provide feedback on state-of-the-art solutions and how they may fit to different operating constraints
Practitioner of modern software development practices - e.g. TDD, CI, source control
Experienced with modern ML techniques - particularly deep learning models and architectures - such as CNNs, RNNs, LSTMs
1+ years experience with one or more DL software frameworks such as Tensorflow, PyTorch
3+ years software engineering experience
Nice to haves:
Experience with large-scale systems and data, e.g. Hadoop, distributed systems
Experience with one or more of the following:
Approximate / k Nearest Neighbour theory, algorithms and frameworks
Model optimisation and parameter selection
Publications in top conferences such as ICLR, NIPS, ICML, CVPR, ICCV, ECCV, etc
Equal Opportunity Statement
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
Software Engineer - Iot, Artificial Intelligence, Machine Learning
Comau LLC is now creating a new team focused on Digital Manufacturing. For this reason we are looking for a Software Engineer, passionate for Artificial Intelligence (AI), Robotics, Cloud, IoT technologies willing to challenge him/herself with the next generation of intelligent machines that will drive the digital revolution. Take ownership. Are you ready for a challenge? In this role the ideal candidate will act as a network and think innovatively while executing the following responsibilities:
Develop software for IoT, Artificial Intelligence and Machine Learning applications
Integrate hardware/sensors and develop software to manage IoT/Industry 4.0 applications
Configuring, coding, developing, and documenting software specifications throughout the project life cycle
Collaborate/coordinate the work with start-ups and other digital companies
Direct research on emerging trends//solutions/standards in Automation and IoT/Industry 4.0 * Work in strict collaboration with universities and students
Other duties as required Reports to: Head of Digitial Product ManagementThis role is best suited for a candidate that possess the following qualifications: Required:
Masters degree in Computer Science, Computer Engineering or related technical fields
Experience in programming in one or more of these languages: Java, Python, C, C++, C#, Lua, etc
Expertise in code debugging, knowledge of algorithms and the ability to understand and integrate state of the art libraries and frameworks into your work are important skills we value
Best practices of code development: testing, reviews and design documentation
Knowloedge of Linux and Windows operating systems Preferred:
PhD in Computer Science, Computer Engineering or related technical fields * 3 or more years of work experience in similar field
Robotics and Industrial Automation knowledge/experience
Experience with CUDA, cuDNN -- and GP-GPU programming
Advanced skill levels with deep learning and machine learing algorithms, open-source frameworks (e.g Caffe, Torch, TensorFlow, JetPack) and applications
Experience with common data science toolkits, such as Matlab, is highly desirable
Experience with Big Data and Cloud concepts and tools (e.g. Hadoop, MapReduce, Impala, Cassandra, MongoDB) * Experience with common data science toolkits, such as Matlab
Experience with Agile methodologies (SCRUM, Kanban) * Contributing to open source projects Let's Connect. A Global Spirit, a Local Presence.Let's Work. A history rooted in excellence, a future driven by innovation.Let's Innovate. We believe that innovation drives the industry towards excellence. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
Computer Vision Machine Learning Engineer Phd
Introduction to the team:
The members of Wayfair's Data Science group come from a range of highly quantitative backgrounds (think astrophysics, economics, cognitive science, and operations research, engineering and math).
The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.
Our Computer Vision team uses the latest in the research community to build algorithmic intelligence of Wayfair's millions of images for our customers, suppliers, and in-house scientists. Imagery and style is at the core of Wayfair's catalog offering.
Check out some of our work here: https://tech.wayfair.com/team-data-science/
Many of our projects are new and mostly projects that have never been worked on before. The work we do encompasses:
Modular algorithm design – develop re-usable building blocks for quantitative models, leveraging high parallel, distributed machine learning and advanced data analysis techniques
Algorithm platform engineering – architect, build, and maintain technical platforms for our algorithmic engines to run at scale, both for online and offline needs
Influencing business decisions – relentlessly leverage our work and encourage adoption across our business partners, to drive real business value
Data mining – work together with data scientists to uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
As part of this role, you will use your software engineering skills to help build scalable machine learning models that drive value across multiple areas of the business. You'll work within Wayfair's latest big data technology infrastructure to develop innovative and new machine learning engineering capabilities.
Currently enrolled in a PhD program at a top-tier institution with a strong academic track record.
2+ years of software engineering experience or advanced degree in quantitative field w/ material exposure to coding (e.g. mathematics, economics, computer science, physics, neuroscience, operations research etc.)
Intuitive sense of how to architect high performance distributed computing systems for machine learning & tie them to business problems
Strong background in machine learning and parallel processing pipelines
High comfort level with programming, e.g. languages such as Python, R, Scala, etc
Intense intellectual curiosity – strong desire to always be learning
Analytical, creative, and innovative approach to solving open-ended problems
Highly collaborative, team-player attitude
Sr. C#.Net Developer – Gui, Jeans, & Machine Learning Projects
Software Engineer Machine Learning - Intern
Who we are
At Criteo, we connect 1.5 billion active shoppers with the things they need and love. Our technology takes an algorithmic approach to predict what user we show an ad to, when, and for what products.
Our dataset is about 50 petabytes in Hadoop (more than 120 TB extra per day) and we take less than 10ms to respond to an ad request. This is truly big data and machine learning without the buzzwords. If scale and complexity excite you, join us.
Challenges of This Role
You will be working with developers and data scientist to build and debug models that will be used in production, controlling millions of dollars a day of advertising spend. You will work a variety of problems using large scale consumer data.
Strong Candidate Qualifications
BS in Computer Science or related field
Experience with python and a modern ML framework such as TensorFlow
You have a rock-solid foundation in Computer Science (data structures, algorithms).
A passion for data
You are a problem solver, a fixer, and a creative technologist. We believe build good models is a talent and passion, not just a skill
At Criteo, we dare to be different. We believe that diversity fuels innovation and creates an energy that can be seen and felt all over Criteo. We champion different perspectives and are committed to creating a workplace where all Criteos are heard, feel a sense of belonging, and are treated with respect and dignity.
Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants.
Your information will be accessible to the different Criteo entities across the world. By clicking the "Apply" button you expressly give your consent.
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
Royal is a diverse manufacturer of injection molding, urethane foam and assemblies. We serve the automotive, furniture, and consumer products industries. We are growing and looking for talented individuals to join our team!
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.
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