and news throughout the firm and the Bloomberg Terminal. We have hundreds of thousands of internal and external users across the globe who are actively using our applications to analyze and process information that is critical to our clients in making key investment decisions.
Key aspects of our business include developing web sites and web applications to facilitate our data pipeline. Our team develops applications for both internal and external clients. Externally, our applications allow our clients and partners in the financial industry to help handle their needs for high-quality, real time data and services. Internally, our tools help support a wide variety of critically important
data workflows. We also maintain a series of reusable front-end and back-end components for the entire Data Technologies group for building up their own web applications.
We'll trust you to: Design, implement and own critical applications and components of our platform. Participate in the full SDLC of various components and systems that are required to be robust and scalable. Get to know engineering and data teams across Bloomberg, understand their application requirements and data access patterns. Understand the needs of our clients, and come up with an efficient and innovative approach to translate them to features and enhancements to the platform. Bring the latest and greatest innovation
and technology stack features from the open source community to our products.
You'll need to have: 4+ years experience building comprehensive, scalable, and extensible client-side apps with Java Script (ES2015+)/Type Script, Front End Development frameworks/tools, such as React, Angular, Vue, Webpack, Babel, Twitter Bootstrap, etc. 4+ years experience working with Node. js, including server application, frameworks, CLI tools, and building microservices. Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems. A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
We'd love to see: Experience working with Microservice architectures and methodologies such as Twelve-factor. Familiarity with Web standards and browser related technologies. Knowledge of Big Data, SQL and No SQL Databases, and Cloud-Based Object Stores. Experience with optimizing performance for web applications and working with distributed systems. Knowledge and experience with improving security and mitigating risks of web applications. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, interaction, interactionual orientation, interactionual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job.
Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email xyz X@ (Americas), xyz X@ (Europe, the Middle East and Africa), or xyz X@ (Asia-Pacific), based on the region you are submitting an application for. Salary Range: 160,000 - 240,000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting.
Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others.
The Company does not provide benefits directly to contingent workers/contractors and interns. For more details: jobs-search. org/finance_princeton-c439416/senior-web-engineer-web-services-data-technologies-princeton_i1971594320
and collaborator facilities world-wide. The core competencies of the Design Group include the design and implementation of; high vacuum components and systems, high heat flux components, coupled electro-mechanical systems in high EM flux environments, material science, metrology, and in-vacuum motion devices.
Limit-less, safe and clean energy for the future! Are you interested in joining the world's brightest talent in solving some of the world’s grandest scientific challenges of the 21st century? Princeton Plasma Physics Laboratory (PPPL) is doing just that! Whether it be through science, engineering, technology or professional services, every team member has an opportunity to make their
mark on our world. PPPL aims to attract and support people with a rich variety of backgrounds, interests, experiences, and cultural viewpoints. We are committed to equity, diversity, and inclusion and believe that each member of our team contributes to our scientific mission in their own unique way.
Come join us! Responsibilities The EN06 Lead Engineers apply extensive and diversified knowledge of principles and practices in broad areas of assignments in their specialties and related fields, make decisions independently on engineering problems and methods, and participates in conferences to resolve important questions and to plan and coordinate work. They are required to use advanced
techniques and to modify and extend theories, precepts, and practices in their fields and related sciences and disciplines.
The knowledge required at this rank is usually gained from experience including having worked in a capacity equivalent to that of a staff member at the previous rank. This rank requires the candidate to have sufficient experience to assure competence as a fully established professional, someone who has successfully completed projects. Candidates requires technical competence proven from ( 10 years) prior experience in positions of similar or related responsibility. Core Duties The successful candidate will: Plan, develop, coordinate, and direct important projects or a number of lesser projects with many complex features.
Carry out complex or novel assignments requiring the development of new or improved techniques and procedures. Develop and evaluate plans and criteria for projects and activities to be carried out by others. Execute mechanical design and analysis. Carry out the process of designing, documenting, and reviewing engineering design and calculations. Prepare cost and schedule estimates. Prepare documentation (installation procedures, analysis reports, calculations, system description documents, design reviews).
Prepare Project Execution Plans and manage work to that Plan, including cost and schedule. Supervise the process of the drawings by overseeing the preparation, approval, and release of drawings for manufacturing. Oversee and/or supervise the fabrication, installation, and commissioning of designed components. Write Specifications and SOW to establish external standards for suppliers and vendors. Determine applicability and appropriateness of requirements and internal controls. Reprioritize activities within the scope of work being managed. Supervise the professionals and technicians who assist them, estimate personnel needs, and schedule and assign work to meet completion deadlines on assigned projects.
Selected candidates will be a team member of the Engineering Design Group (matrix) and could be assigned to work on various projects (fusion experiments) at PPPL, (NSTX National Spherical Torus Experiment, ITER International Thermonuclear Experimental Reactor, etc.). At this rank, supervision and guidance relate largely to overall objectives, critical issues, new concepts, and policy matters. Staff members at this rank normally consult with their supervisors concerning unusual problems and developments.
Qualifications Education and Experience: Bachelor’s degree (advanced degree preferred) in Mechanical Engineering or a related field. Professional experience, 10 years (inclusive of post-BS academic experience), preferably in a scientific or R&D environment. A strategic goal of PPPL is diversifying the community of scientists and engineers, ensuring equitable access, and making the STEM fields more accessible and inclusive. With this in mind, we will take into consideration equivalent work and personal experiences as well as efforts in education, outreach or other related service activities.
Knowledge, Skills and Abilities Required: Perform and make decisions independently with limited supervisory assistance. Technical competence in mechanical engineering. Application of standard principles and procedures of mechanical engineering. Familiarity with mechanical analysis. Fluency with 3D modelling/CAD and development/review of fabrication drawings. Ability to work with a diverse group of researchers, engineers, and technicians. Preferred: Knowledge of “State of the Art” manufacturing methods. Proficiency with GD&T. Experience with metrology and tolerance studies.
Design Experience: Mechanisms & linkages. High heat flux components. Specialty materials and austenitic steels. Diagnostic components. Super-conducting magnet. Components in high vacuum environments. Physical Requirements: Ability to work in confined spaces; may be necessary. Working Conditions: Most work will be done in PPPL offices, shops and laboratories, though vendor visits may be required. Work may be on 1st or 2nd shift dependent on facility schedules. May involve work in confined spaces, use of fall protection, other job-specific PPE. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, interaction, interactionual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
KNOW YOUR RIGHTS Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. All PPPL employees are required to disclose any participation in a foreign government talent recruitment program and may be required to withdraw from such programs to remain employed under the DOE Contract.
Standard Weekly Hours40.00Eligible for Overtime No Benefits Eligible Yes Probationary Period180 days Essential Services Personnel (see policy for detail)No Physical Capacity Exam Required No Valid Driver's License Required No #LI-CL1For more details: jobs-search. org/manufacturing_princeton-c439416/mechanical-design-engineer-lead-level-design-group-iter-princeton_i1970179146
drive growth and operational excellence across the value chain while innovating for future capabilities. We regulate accounting, uphold workplace safety, manage our supply chain and sampling, support technology, provide commercial operations, insights & analytics, maintain our facilities and assure the integrity and completeness of all business transactions.
At Novo Nordisk, you will have the opportunity to build a life-changing career in a global business environment. We encourage our employees to make the most of their talent. And we reward hard work and dedication with the opportunity for continuous learning and personal development. Are you ready to realize your potential? The Position
The Senior Machine Learning Engineer is a technical leader with a deep understanding of business requirements, business processes and solution architecture who designs and supports advanced machine learning solutions and robust capabilities that ensure high performance and high quality results.
This role will be responsible for delivering and supporting complex machine learning solutions and serves as a leader on cross-functional internal and vendor teams. Specifically, this role will mature our machine learning, data science and Gen AI capabilities to enable productionizing ML & AI models. It will establish a Model Operations capability as we begin to productionize machine learning and
AI systems. This role is fit for expert machine learning and data science engineer who can provide the ML services to data scientists, create AI solutions, scale up the ML models, manage the ML Ops, and perform needed governance tasks around deployed models.
This role will be the backbone of the AI ML Co E department and will work on new age Gen AI solutions. This role should be open to learn and implement new relevant tools and use cases. This person should be able to create the complete solution, so full stack development skill with experience of visualization/UX/UI will help a lot. This person will work in SAFe agile framework, so should have knowledge around it.
This person should be very good at communication and in a collaborative environment. Relationships Reports to Associate Director, AI & ML Co E ; works with Lo B and senior data scientist stakeholders across Novo Nordisk Inc. (NNI) (especially Commercial Advanced Analytics and Scientific Analytics) to implement and productionize models and AI processes. Also collaborates with the Global IT to ensure alignment. Manages vendors (AWS, software vendors) to design, install, upgrade and support data engineering, data science and Model Ops capabilities. No internal direct reports, but as a senior technical member of the department will coach and direct other resources as needed to accomplish goals.
Directs consultants, offshore resources and vendors. Essential Functions Establishes and supports a MLOps/Model Ops framework for productionizing machine learning models Collaborates with data scientists and streamlines the process of delivering ML models into production using software engineering best practices for testing, tuning and optimization Provide ML services to data scientists, such as data preparation, feature engineering, model selection, optimization, deployment, and monitoring.
Work closely with product SMEs, data scientists, and other stakeholders to understand the business requirements, use cases, and objectives of AI and ML initiatives. Design, develop, and deploy end-to-end AI and ML solutions using AWS services, Dataiku, Python, and other relevant technologies. Enable new features and capabilities of products into our AI and ML ecosystems, ensuring scalability, reliability, security, and performance. Scale up the ML models to handle large volumes of data and requests, using Dataiku and AWS services such as S3, EC2, Lambda, Sage Maker, etc. Provide technical guidance and support to data scientists and other AI and ML users, facilitating knowledge sharing and collaboration.
Manage the ML Ops, such as version control, testing, continuous integration, continuous delivery, continuous monitoring, troubleshooting of deployed ML models and pipelines. Learn and implement new relevant tools and use cases, such as Dataiku features, AWS AI services, ML frameworks, libraries, APIs, Azure AI stack etc. Create the complete solution, from data ingestion to user interface, using full stack development skills and experience of visualization/UX/UI. Communicate and collaborate effectively with stakeholders, such as business users, data scientists, developers, testers, etc.
Integrate various data sources and platforms with our AI and ML platform, using best practices and standards. Create and maintain documentation, reports, and presentations on AI and ML projects and solutions. Perform governance and compliance tasks related to AI and ML, such as data quality, ethics, privacy, and auditability. Research and implement new and emerging tools, techniques, and trends in AI and ML, especially in the domain of Gen AI. Work in a SAFe agile framework, following the principles and practices of agile development.
Constantly scans the landscape for new tools that can be used for improving the Data Ops and MLOps processes. Collaborates with Global DM&A team to ensure OASIS environment supports relevant NNI advanced analytics systems, processes, and business requirements. Physical Requirements 10-20% overnight travel required; May require international travel. Qualifications Bachelor's degree in computer science or related field; Master’s degree preferred but may be substituted with additional relevant experience 10+ years’ experience in IT, including experience supporting big data and advanced analytics initiatives.
Strong background in cloud architecture, design and implementation experience, particularly in data management and analytics solutions. Experience supporting advanced analytics, machine learning and data science use cases essential In-depth knowledge of and experience working in cloud platforms and technologies (AWS preferred). Expert level skill in Dataiku. Extensive experience in AWS is a major plus. Proficient in Python, SQL and ETL skills essential; knowledge of statistical packages like R and SAS is a plus. Familiar with ML frameworks, libraries, and APIs, such as Tensor Flow, Py Torch, Keras, Scikit-learn, Pandas, Num Py, etc.
Knowledgeable in ML concepts, techniques, and algorithms, such as supervised learning, unsupervised learning, deep learning, etc. Experienced in full stack development, with skills in web development, visualization, UX/UI, etc. Proficient in various ML best practices, standards, and methodologies, such as SAFe agile, ML Ops, ML governance, etc. Experience collaborating with global teams and interacting directly with Line of Business stakeholders. Excellent communication and collaboration skills, with ability to explain complex technical concepts to non-technical audiences.
Strong problem-solving and analytical skills, with attention to detail and quality. Curious and passionate about learning new things and exploring new possibilities in AI and ML We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures.
We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing. Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, interaction, gender identity, interactionual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at -xyz X. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
team is made up with 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day.
We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. For more information, click here. What You Will Do The Staff Packaging Engineer role is a squad level role with responsibility for being the face of Package Development to the Essential Health Business. Essential Health Business consists of iconic
brands such as LISTERINE®, JOHNSON'S® and BAND-AID®. Key contributions include resource backssment and evaluation for new products, due diligence and feasibility work for projects, and governance lead.
Key Responsibilities • This position will require authoring and approving specifications, documentation, package line trials and package testing to support product release. • This successful individual will take a leadership role with packaging projects and possess the ability to influence with multi-functional teams in a fast-paced environment. • The candidate should possess the ability to pursue complex technical issues and innovative solutions in the areas of product, packages, process,
mechanistic understanding and consumer insights. • This individual should think and develop future strategies in key focus areas such as sustainability, e-commerce, and package innovation.
• This position requires in depth knowledge of materials and processes used in construction and manufacturing of cosmetic packaging (Extrusion/ Injection molding and Dispensing systems (airless, pumps)) Qualifications What We Are Looking For Required Qualifications A Bachelor's degree in Packaging, Engineering or a related Science field is required; Advanced degree is preferred At least 6 years of proven experience in Cosmetic/Personal Care, OTC, Food or related industry is required.
Solid understanding of a broad spectrum of packaging materials, structures, components, and related conversion processes is required. Experience in packaging line trials and package testing knowledge is required. Ability to partner and lead effectively across functions and functional levels is required. Technical Leadership skills are required. Supervisory experience and the ability to mentor and train talent within the organization is required. Experience leading multiple projects and activities at internal or external manufacturing sites is required. Ability to prioritize multiple constantly evolving priorities with minimal direction is required.
A strong focus on sustainability and e Commerce packaging is required. Desired Qualifications Project Management skills are preferred. Strong technical writing/documentation skills are preferred. Demonstrated ability to analyze data, identify root causes, draw conclusions, and generate reports that present sound data driven conclusions is preferred. Solid Works/CAD, Abaqus, or other finite element analysis software tools to perform duties. What's In It For You • Competitive Benefit Package • Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!
• Learning & Development Opportunities • Employee Resource Groups Travel: This position may require up to 20% travel (primarily domestic and some potential international) Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Salary range for this role is 120,000-160,000
