MFG & Process Development Engineer II – Molding

Office Manager - AMEA Snacks

Sr. EHS Site Manager

Facilities & Utilities Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Responsibilities: <ul><li>Overall molding process development, coordinating with interaction processes (Stamping, Plating, Assembly) to ensure the best process and cost for F/Gs</li><li>Concept design &amp; proofing for Molding process and tooling, Process development DOE.</li><li>Technical leader and trouble shooter from LVM to HVM in process development, tooling design &amp; qualification, issue finding and problem solving</li><li>Platforming manufacturing process development.</li><li>Challenge product design for manufacturability and cost feasibility.</li><li>Launch product at rate through FACA/QCPA tools (yield, CPK, OEE…)</li><li>Launch product on time with cross function team.</li><li>Process documentation (DFM，FMEAs, WI, FACA/QCPC…)</li></ul> Requirements:﻿ <ul><li>Bachelor or above degree in mechanical engineering or related background.</li><li>5+ years Mold design, Process and Troubleshooting knowledge / experience.</li><li>Strong knowledge of tool fabrication, tool-steel application/selection, heat treating, and plating/coating.&nbsp;</li><li>Strong knowledge of injection molding processes (Injection, Insert-molding, two-shot, etc.).</li><li>Strong understanding of plastic, injection machine, auxiliary equipment (strip feed, camera, etc).</li><li>Good at Mold flow simulation and analysis.</li><li>Familiar with BTI 5-Step process, and Knowledge of SIM (Scientific Injection Molding).</li><li>Understand tolerance calculations and Geometric Dimensioning and Tolerancing.</li><li>Data oriented issue finding and problem-solving skills.</li><li>Rich shopfloor hand on experience.</li><li>Sensitive on product cost, know how to drive cost through manufacturing process development &amp; design optimization.</li><li>Fluent in using of basic process development related tools like DFM, PFMEA，DOE，FAA, CTAR，CAD，Pro E</li><li>Knowledge of quality control and quality issue analysis and improvement</li><li>Good teamwork and communication skills。</li><li>Fluent in written and Spoken English.</li><li>Oversea working experience is a plus</li></ul>

Responsibilities: <ul><li>Champion seamless office operations, ensuring every day runs like clockwork through expert coordination and proactive management</li><li>Master administrative wizardry by effortlessly juggling tasks such as handling calls, maintaining meticulous files, and orchestrating schedules with finesse</li><li>Ensure our office is a well-oiled machine by keeping supplies stocked, equipment humming, and spaces impeccably organized</li><li>Spearhead the charge on office aesthetics and functionality, guaranteeing a pristine environment that boosts productivity and morale</li><li>Take charge of financial wizardry by skill fully managing budgets and expenses, ensuring every penny is wisely invested</li><li>Build strong partnerships with vendors and service providers, ensuring top-notch service and competitive pricing</li><li>Cultivate a vibrant and collaborative office culture, fostering an environment where everyone thrives</li><li>Tackle tech challenges head-on, providing basic IT support or coordinating with specialists to keep our systems running smoothly</li><li>Lead exciting office renovation projects from concept to completion, collaborating with contractors and vendors to create inspiring workspaces on time and within budget</li><li>Elevate employee engagement through meticulously organized events and celebrations that leave a lasting positive impact on our team</li></ul> Requirements: <ul><li>A minimum of five years in Office Management focused on office operations, administration as well as employee engagement driven by townhalls, monthly events and celebrations</li><li>We’re looking for someone who is a dynamic and energetic individual with a passion for fost ering office engagement and a vibrant approach to daily responsibilities</li><li>Experience in working for a similar sized and fast paced organisation is ideal</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and manage the Wilsonville site’s EHS&amp;S team and programs.</li><li>Ensure compliance with local, state, and federal environmental and safety regulations including OSHA, EPA (CAA, CWA, RCRA, TSCA, SARA), and our client internal standards.</li><li>Develop, implement, and monitor EHS performance metrics and reports for internal and external stakeholders.</li><li>Drive continuous improvement in areas such as Behavior-Based Safety (BBS), ergonomics, hazardous waste, machine safety, and energy reduction.</li><li>Maintain and manage environmental permits, licenses, and records.</li><li>Oversee incident investigation and corrective action programs.</li><li>Act as the primary contact for regulatory agencies and third-party auditors.</li><li>Manage the EHS&amp;S budget and related capital projects.</li><li>Support ISO 14001 environmental management system implementation and certification.</li><li>Promote employee engagement and awareness across the site through training, communications, and EHS culture-building activities.</li><li>Coordinate sustainability initiatives targeting Scope 1, 2, and 3 emissions, water usage, and waste reduction.</li><li>Engage with site leadership in operations, maintenance, quality, and procurement to ensure integrated EHS compliance and strategy.</li><li>Stay abreast of regulatory changes and adapt internal policies accordingly.</li></ul> Requirements: Qualifications&nbsp; <ul><li>Bachelor’s degree in Environmental, Health &amp; Safety or related field (required).</li><li>10+ years of EHS experience in a manufacturing environment.</li><li>Experience in medical device manufacturing or similarly regulated industry preferred.</li><li>CSP (Certified Safety Professional) preferred.</li><li>Experience implementing and managing EHS systems and ISO 14001 certification.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead KWS RM COE and own equipment criticality element as part of the facilities and utilities operation.</li><li>Lead Facilities &amp; Utilities team insourcing maintenance strategy with a strong technical development plan</li><li>Delivery highest level of facilities and utilities machine reliability with the optimum level of preventive, corrective &amp; condition-based base maintenance strategic formulation and implementation.</li><li>Lead and implement integrated facilities management for factory-wide facilities management/maintenance. This includes the hard and soft service of the facilities management.&nbsp;</li><li>Key member and element owner of Technical COE on FUS and drive all global FUS programs.</li><li>Key member of NRC COE to drive sustainability agenda through out the factory.</li><li>Develop good relationships with other regional factories and strive for cross-learning and implementation of best practices for plant performance and KWS.</li><li>Owns engineering facilities and utilities R&amp;M cost budgeting and end-to-end management and monitoring.&nbsp;</li><li>Conducts effective cost reduction initiatives in line with ZLA &amp; KIMMS projects.&nbsp;&nbsp;</li><li>Leads ongoing cross-functional teams to conduct analyses of plant savings opportunities, identify CAPEX investment opportunities, and make strategic investments to support growth and machine reliability.</li><li>Provide coaching, and guidance &amp; lead the team towards a high-performing team.</li><li>Leads the team as the expert point of contact for facilities and utilities for the whole plant and provides support accordingly.</li><li>Owns Technician Training and development systems in support of Technician Progression</li><li>Responsible for Site Daily Meeting Cadence with Tier 1-4 meetings and ensure they are healthy for results sustainability.</li><li>To guard standards and regulations on EHS, QFS, and other fundamentals by participating in and coaching during Leader Led Observations, Safety 7, Golden 6, and other EHS and QFS activities.&nbsp;</li><li>Always maintain a good level of documentation and evidence management to support all internal and external audits. (QFS, KWS, EHS, DOSH, FSSC, HACCP, HALAL, and Global programs on FUS)</li></ul> Requirements: <ul><li>Degree in Chemical/Mechanical/Electrical Engineering or related discipline with at least 10 years of working experience.</li><li>Sound practical knowledge of mechanical engineering (rotating equipment, fasteners, bearings, gearbox, valves, thermodynamics, material strength &amp; compatibility, etc.)</li><li>Sound technical knowledge of utilities &amp; facilities equipment working mechanism and working principle (compressed air, WWTP, HVAC, chiller, coiler, hoist, rapid door, building maintenance (roof, drain, floor, etc.), electrical power supply, water supply, gas supply, nitrogen gas supply, etc.)</li><li>Preferably having work experience in F&amp;B industries with experience in SAP system</li><li>Technical experience in the following systems:&nbsp;</li><li>Six Sigma DMAIC process and strong analytical knowledge to lead and resolve complex issues.</li><li>Strong knowledge and awareness of different types of leadership and hands-on experience.&nbsp;</li><li>Capable of formulating different types of strategies to increase reliability, effectiveness, and collaboration of facilities and utilities teams to drive results in a sustainable way</li><li>Numerical literacy of basic electrical engineering (motor power, electrical load, cable sizing) and process engineering (basic mathematics related to the physics of pressure, temperature, level, force, etc.)</li><li>Sound hands-on experience in facilities &amp; utilities maintenance strategy formulation and conducting insourcing maintenance.&nbsp;</li><li>Exposed and have hands-on experience with pillar approached performance management (KWS), CI tools, analysis tools, sound problem-solving skills, and coaching skills.</li><li>Six Sigma Green Belt project implementation experience &amp; CAPEX project management will be an added advantage</li></ul>

Responsibilities: <ul><li>Trouble shooting, Modify or Create Machine PLC program to suit the need of the plant.</li><li>In-charge of the repair and maintenance of the CCD System or Automated Camera Inspection of the production machines. </li><li>As well as the PLC system of the machine movement and its correct sequencing.</li><li>Suggest improvement of machine automation and PLC program to improve productivity and OEE.</li><li>Train technician on proper parameter modification of PLC program. </li><li>As well as improve their competency on machine automation.</li><li>CCD light adjustments to improve the performance.&nbsp;&nbsp;</li></ul> ﻿﻿Requirements: <ul><li>Licensed Electronics Engineer (ECE) or Computer Engineer with 5years minimum experience in Machine Automation and Machine Programming.&nbsp;</li><li>Must have a capability to create program aside from debugging.&nbsp;</li><li>Must have deep programming knowledge on CCD or Automated Inspection Camera used for visual inspection.&nbsp;</li><li>With high understanding of Safety PLC as well as the standard machine PLC.&nbsp;</li></ul>

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Role Description: <ul><li>The Electronic and Sensor Integration Team Manager will report to the product development team for cold applied products, part of Energy Business unit.</li><li>S/he will lead &amp; be responsible for managing a team working on new product development (NPD), value analysis and value engineering (VA/VE) and sustaining projects as well as perform management duties.</li><li>This role will require strong leadership skills and demonstrated product development experience in a global technology company to drive success for the Energy BU by leading his/her team to develop best-in-class engineering solutions for our customers.</li></ul> Responsibilities: <ul><li>Manage and drive the Electronic and Sensor Integration Team.</li><li>Demonstrate technical leadership. Provide technical solutions and break through ideas.</li><li>Guide the development of complex electronic systems, including analog and digital circuits.</li><li>Oversee the implementation of emerging technologies such as IoT, AI, and machine learning in electronic products.</li><li>Ensure adherence to industry standards (e.g., IEEE, IPC) and regulatory requirements (e.g., FCC, CE).</li><li>Perform resource planning and prioritization for required activities.</li><li>Accountable for delivering NPD projects on-time and on-budget.</li><li>Collaborate with product managers, mechanical teams, software developers, and system architects to integrate electronics into end products.</li></ul> Requirements: <ul><li>Graduate or postgraduate (BE or M.Tech) in Electronics engineering or related engineering discipline.</li><li>12+ years of engineering experience and with more than 5 years of experience in supervising and leading engineering team.</li><li>Experience in developing and industrializing electronic and sensor products, preferably associated with Energy market.</li><li>Excellent in people and resource management.</li></ul>

Responsibilities: <ul><li>Oversee combined operations of two sites in Lancaster, PA region (Mount Joy and Manheim)</li><li>Lead cross-functional teams including Operations, Supply Chain, Manufacturing Engineering, Quality, Maintenance, and Continuous Improvement.</li><li>Indirect coordination with HR, Finance, and Product Engineering</li><li>Translate strategic objectives from Segment, BU, and functional leadership into site-level goals</li><li>Set and manage expectations for direct and matrixed reports</li><li>Monitor production to optimize resource usage and meet targets for:</li><li>Lean , Safety, Quality, Delivery, Cost, Employee Engagement, and Talent Development</li><li>Drive Continuous Improvement (CI) initiatives to exceed operational goals</li><li>Lead Supply Planning within the BUs Sales &amp; Operations Planning process (18–24 month horizon)</li><li>Ensure end-to-end supply chain readiness, including labor, machine, and supplier capacity through scenario planning.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Manufacturing, Supply Chain, or Business (required)</li><li>Minimum 7 years of operations leadership experience with a proven track record in site transformations</li><li>Minimum 5 years of management experience including general project leadership</li><li>Strong knowledge of plant P&amp;L and solid financial acumen</li><li>Demonstrated Lean leadership; Six Sigma experience is a plus</li><li>Experience in low volume, high mix manufacturing environments</li><li>Ability to manage relationships with multiple customers and suppliers</li><li>ITAR/EAR compliance required – must be a U.S. citizen, national, lawful permanent resident, or granted asylee status</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

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19 machine learnig Jobs found

MFG & Process Development Engineer II – Molding

Office Manager - AMEA Snacks

Sr. EHS Site Manager

Facilities & Utilities Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

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19 machine learnig Jobs found

MFG & Process Development Engineer II – Molding

Office Manager - AMEA Snacks

Sr. EHS Site Manager

Facilities & Utilities Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.