Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Solutions Engineer - Cloud and AI Networking

DevOps Engineer

Manufacturing Engineer(Molding)

Mfg & Process DVL Engineer II (Automation)

Senior Project Manager Engineer 

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>

Responsibilities: <ul><li>Lead and manage the fixture engineering team, providing mentorship and guidance.</li><li>Design and develop machining &amp; assembly fixtures and tooling for manufacturing processes, applying GD&amp;T principle effectively.</li><li>Continuously develop and sustain the technical competency within the design team.</li><li>Collaborate with cross functional team, including product engineering, process, production and quality assurance.</li><li>To perform detail designs and drafting of detail drawings (parts drawings) with 3D software and upon the approval of the project manager in accordance to drawings, assembly instructions &amp; PFMEA requirements, and forward the designs to the respective vendors and suppliers for quotations &amp; fabrication.</li><li>To provide engineering solution to NPI team members for new launch products, tooling, jigs &amp; fixture setup and monitor project timelines and budgets, ensuring timely delivery of fixture solution.</li><li>Ensure proper setup TPM &amp; autonomous maintenance planning on mechanical devices, tools, jig &amp; fixtures with proper procurement documentation and ensure perform the TPM according to TPM planning.</li><li>Support in establishing manufacturing methods, procedures, and activities with proper document (e.g. work Instruction), these includes setting of mechanical devices, tooling, fixture setup and clamping method.</li><li>Initiate and participate in continuous improvement process and 6S at work environment to increase the productivity and maintain safety, quality, cycle time optimization and efficiency towards meeting departmental goals.</li><li>Conduct training for production staffs in workflow and the use and applications of various jig and fixture clamping techniques.</li><li>To conduct the machine/processes capability study and machine acceptance documentation.</li><li>Provide support for internal / external process audits and ensure compliance of established process requirements in the implementation of jigs and fixtures.</li><li>Implement best practice in fixture design and engineering, with a focus on precision and compliance.</li><li>Prepare and present technical documents and reports, including CAPEX investment proposal to management &amp; stakeholder.</li><li>Foster a culture of continuous improvement within the team &amp; stay updated on industry trends and emerging technologies in fixture engineering.</li><li>Support daily task given by Superior from time to time.</li></ul>&nbsp;Requirements:&nbsp; <ul><li>Prefer 8 years relevant professional experience in fixture design and engineering, preferably in a machining/assembly manufacturing environment.</li><li>Bachelor/Master degree in Mechanical Engineering, Manufacturing Engineering, Mechatronic Engineering, or related field.</li><li>Proven leadership experience with a focus on team development and collaboration.</li><li>In-depth knowledge of GD&amp;T and its application in fixture design.</li><li>CNC/precision machining knowledge is an added advantage</li><li>Strong communication and interpersonal skills.</li><li>Strong organization, time management, planning skills and ability to manage multiple tasks with tight deadlines.</li><li>Familiarity with automation and advanced manufacturing technologies.</li><li>Experience with Lean manufacturing principles and techniques.</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Solutions engineer role is a highly customer-focused technical sales provides in-depth technical information and specific design/implementation mentorship to one customer in a dedicated manner.&nbsp;</li><li>This solutions engineer role provides a sophisticated architectural perspective across the company architecture portfolios, including software and services, demonstrating of the broad company portfolio.</li><li>He / She collaborates with the rest of the sales ecosystem on strategic and complex opportunities and coordinates additional resources (e.g. consulting specialists, demo labs, etc.) to recommend, develop, and propose appropriate customer solution and services offerings.&nbsp;</li><li>Design and architect cloud-based networking solutions tailored for AI workloads (e.g., data center fabrics, edge computing, high-speed interconnects).</li><li>Present and demo networking solutions tailored for cloud and AI scenarios.</li><li>Leverage AI and ML for network optimization, anomaly detection, and predictive maintenance.</li><li>Looked to as a trusted technical advisor by the account team and customer allowing the systems engineer to identify company solution opportunities aligned to the customers business goals.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent</li><li>8-12 years field technical sales experience as a systems engineer/solutions architect or equivalent</li><li>Company product experience , pre-sales experience required.</li><li>Knowledge and strong operating experience in&nbsp;following areas of specialization: Compute hardware, HCI, Storage, backup, virtualization.</li><li>In-depth knowledge on Datacenter solutions like SDN, SDS, and compute hardware.</li><li>Knowledge of relevant solutions sets, product line specifications, performance criteria and applications.</li><li>Pro-active self-starter and innovator</li><li>Networking and relationship building skills</li><li>Phenomenal teammate</li><li>Consistent track record to focus and achieve goals</li><li>Perform daily with the highest degree of integrity</li><li>Excellent written and verbal communication, listening, negotiation and presentation skills.</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Participate in oversea transfer program and ensure molding machines, mold tooling’s and processes are installed and qualified promptly for production.</li><li>Initiate tooling, process and quality improvements to improve productivity.</li><li>Assist production and quality departments in analyse and troubleshooting to achieve good quality products.</li><li>Provide Engineering support to the production team during new product start-up and initial production.</li><li>Provide cost estimates for new of molding projects / tooling’s to the Project Management Team for project cost simulation.</li><li>Perform DFM (design for manufacturability) on new products, participate in the concept development of molds, automations and manual processes.</li><li>Standardize, improve tool design to achieve optimized lead-time, cost and safety requirement.</li><li>Carry out qualification tests on molds, machine and manual process</li><li>Ensure that all production machines, tooling and equipment which are being procured, installed and qualified promptly for production.</li><li>Investigate identify root causes and establish Corrective, Preventive Plan with effectiveness</li><li>Participate in Process FMEA and Design FMEA</li><li>Create and maintain mold drawings, standard work for the production.</li><li>Train and guide Mold Technicians in Mold maintenance and setup.</li><li>Participate in 6-Sigma projects, Kaizen events and other Improvement activities.</li><li>Perform any other duties which may be needed by the company related to engineering and production matters.&nbsp;</li><li>Assist production and quality departments in analyses and troubleshooting to achieving good quality products.</li><li>Initiate and implement programs such as continuous improvements, scrap reduction, cost reduction of raw material, cycle time reduction.</li><li>Provide Engineering support to the production team during new product start-up and initial production.</li><li>Perform DFM, provide concept development, cost estimates for new molding tools to the Project Management Team for project cost simulation.</li><li>Develop and optimize new product manufacturing process.</li><li>Follow company specifications and comply with environmental management system’s procedures.</li><li>Follow company WSH specifications and procedures and ensure that staffs comply.</li></ul> Requirements: <ul><li>Degree or Diploma in Mechanical / Production Engineering.</li><li>2-3 years relevant working experience in a Manufacturing environment.</li><li>Familiar with Pro-E (Creo), SolidWorks or AUTOCAD.</li><li>Good knowledge in design &amp; development of Injection molds.</li><li>Good knowledge in tool making, tool-steel application / selection and heat treatment process.</li><li>Familiar with Molding automation process.</li></ul>

Responsibilities: <ul><li>Non-standard automatic equipment design and development, execute machine mechanism detail design and drawing, build, and execute automation design standard.</li><li>Handle machine or auto assembly line establish by external automation suppliers.</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>Experience in automating machinery. Strong programming capabilities, expertise in machine design, and a solid understanding of all machine components, including mechanical, electrical, and programming aspects.&nbsp;</li><li>Hands-on experience working with these components and the ability to drive improvements and automation within the system.</li><li>Background in automating assembly machines, as well as experience with molding, stamping, and plating machines.</li><li>Familiar with these processes—assembly, plating, molding, and stamping. But overall, the key requirement is strong machine automation experience.</li><li>Background in machine design and a strong understanding of machine components, including electrical, mechanical, and programming capabilities.</li><li>Candidates should present detailed portfolios showing their involvement in designing complex machinery, including visual representations like jigs and machine designs.</li><li>Knowledge in PLC programming, Human machine interface. Know how to use 2D . 3Dsoftware</li><li>Familiar with key manufacturing and engineering documents such as PFMEA, DFMEA, DFM, and FAA, which are critical for this role.</li><li>Proficient in mechanical aspects, with the ability to work with 2D and 3D software such as Creo, Autodesk, and AutoCAD. These skills will be key in ensuring the candidate can contribute to both the design and automation processes effectively.</li></ul>

Responsibilities: Project Timeline: <ul><li>Identify/align projects goals and scope with PJM and PM, breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage project team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost through leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: Guide capacity planning, materials sourcing, and manpower to support all builds in the plant.<ul><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make mitigation plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of product, tool capability and demand with the approval of the PjM, Quality, MDPE, and PjE. a.&nbsp;&nbsp;Lead Safe Launch team meetings to assure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful&nbsp;G5 handoff.</li><li>Align the budget with Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.&nbsp;</li></ul> Policies and Procedures: <ul><li>Provide guidance to new coming engineers or junior engineers.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is preferred</li><li>PMP certification preferred</li><li>At least 8 years related working experience in project management, 3~5 years’ experience&nbsp;in connector/cable/cable assembly is a plus</li><li>Fluent oral and written/reading in English.</li></ul>

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24 machine learnig Jobs found

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Solutions Engineer - Cloud and AI Networking

DevOps Engineer

Manufacturing Engineer(Molding)

Mfg & Process DVL Engineer II (Automation)

Senior Project Manager Engineer

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24 machine learnig Jobs found

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Solutions Engineer - Cloud and AI Networking

DevOps Engineer

Manufacturing Engineer(Molding)

Mfg & Process DVL Engineer II (Automation)

Senior Project Manager Engineer

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

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COMPANY

Contact Us

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