Preventive Maintenance Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Senior Product Manager, Consumer Growth

IOT Solution Architect

Responsibilities: <ul><li>Lead the team of 3 Storekeepers, 1 PM executive, and 2 PM technicians for end-to-end preventive maintenance and technical store operation.&nbsp;</li><li>Conducts all the preparation, planning, execution, and closure of the preventive maintenance tasks in SAP and keeps a good track record and compliance.</li><li>Accountable for purchasing, inventory management, stock count, inventory compliance, and conducting stock item analysis (most usage, highest value, slow-moving, obsolete, etc)</li><li>Accountable for all the KPIs for world-class PM &amp; MRO management as outlined in RM COE Phase 1 -3.&nbsp;</li><li>Drive engineering department weekly meetings by organizing, preparing templates for data inputs, KPI review, conducting data analysis, and delivering plant USDT and reliability.&nbsp;</li><li>Constantly conducts data analysis on preventive maintenance plans and spare parts usage to deliver preventive maintenance optimization for cost-effective maintenance.</li><li>Lead root cause analysis and problem-solving capability increase in engineering.</li><li>Lead KWS RM COE and own MROS element as part of the technical store operation.</li><li>Drive implementation of KWS for RM COE among engineering, technical, and operations teams with regular engagement, preparation, and training.</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 R&amp;M cost budgeting and end-to-end management and monitoring. 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>Responsible for Site Daily Meeting Cadence with Tier 1-4 meetings and ensure they are healthy for results sustainability.</li><li>Lead people management for all direct reports and his/her -1 &amp; -2. Manage their performance, KPI delivery/formulation, and capability building effectively.</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>Lead, and involvement in 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 &gt; 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>Practical knowledge of process equipment working mechanism and working principle (fryer, mixing, grinding, canister filling, packing machines, conveyors, etc.)</li><li>Sound work experience in F&amp;B industries with experience in SAP technical store management in support of entire plant operation.</li><li>Sound experience in managing preventive maintenance end-to-end processes to drive the highest level of compliance and machine reliability.&nbsp;</li><li>Technical and hands-on experience in the following systems:&nbsp;</li><li>Profound experience in food manufacturing process flow and in-depth experience in machine mechanisms and concepts. (dry mixing, dumping, wet mixing, conveying system, frying, seasoning, filling and packing)</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>Preferably with some process literacy in building maintenance, HVAC, compressed air supply, utility gas supply, potable and wastewater treatment</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>Good leadership skills and capable of managing 24/7 plans with critical thinking and strong people management skill.&nbsp;</li><li>Six Sigma Green Belt will be 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>

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>

Role Description: What you need to know about the role: <ul><li>We are seeking a Senior Product Manager, Consumer Growth, to lead strategic initiatives that drive user acquisition, onboarding, activation and retention. In this role.</li><li>You will own the end-to-end consumer journey from signup to early engagement, focusing on optimizing conversion funnels, personalizing experiences, and leveraging data-driven insights to accelerate growth.</li><li>You will work cross-functionally with engineering, design, data science and marketing teams to enhance the our client experience and grow our global consumer base.</li></ul> Responsibilities: Your day to day: <ul><li>Define and execute the consumer growth strategy, identifying opportunities to improve signup, onboarding, and activation experiences.</li><li>Own and optimize conversion funnels, A/B testing hypotheses to improve activation and engagement metrics.</li><li>Leverage data analytics, user research, and experimentation to uncover friction points and enhance the consumer journey.</li><li>Collaborate with design, engineering, and marketing teams to build seamless, intuitive experiences that drive growth.</li><li>Develop KPIs and key success metrics for growth initiatives, continuously monitoring performance and iterating for improvements.</li><li>Advocate for a customer-first mindset by understanding user needs and pain points, ensuring solutions are scalable and impactful.</li><li>Partner with risk, identity, and compliance teams to ensure new users are authenticated, regulatory requirements are met, and bad actors are kept off the platform. </li></ul> Requirements: <ul><li>7+ years of experience in product management, preferably in consumer growth, fintech, e-commerce, or a related industry.</li><li>Proven track record of driving measurable growth through data-driven product strategies and experimentation.</li><li>Strong analytical skills, with experience in A/B testing frameworks and data visualization tools.</li><li>Experience working with cross-functional teams in an agile environment.</li><li>Excellent communication and stakeholder management skills, with the ability to influence at all levels of the organization.</li><li>Deep understanding of user acquisition, onboarding, engagement, and retention best practices.</li><li>Experience working with machine learning, personalization, or growth automation is a plus.</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects and external collaborations (assess and challenge technical solutions and ensure compliance and security with clients internal requirements)&nbsp;</li><li>Design and implementation of embedded real time systems, ideally as part of an IoT system, including the associated reliability, performance, and security aspects.</li><li>Design of frontends, backends and middleware of applications</li><li>Design client-side and server-side architecture</li><li>Develop and manage well-functioning databases and applications</li><li>Write effective APIs (e.g. JSON schema, Swagger/REST)</li><li>Test software to ensure responsiveness and efficiency</li><li>Create security and data protection settings</li><li>Development of software for desktop and mobile applications including GUI</li><li>Interacting with embedded software engineers</li><li>Interfacing to embedded hardware devices</li></ul> Requirements: <ul><li>Above average degree in Software Engineering, Computer Science, or relevant field</li><li>Proven experience in designing (in term of architecture) an end-to-end IoT solution including cloud assets</li><li>Proven experience in driving external collaborations (SOW, specifications, design reviews, execution, formal acceptance)</li><li>Good knowledge in Cloud technologies, including backend, data modeling and data architecture, cyber-security, front-end developments, IAM and users’ management</li><li>Experience with containers and microservice architectures</li><li>Advanced skills in web and cloud technologies (knowledge of AWS ecosystem is preferred)</li><li>Knowledge of front-end frameworks (e.g. Angular, React, VUEJS)</li><li>Knowledge of back-end languages and frameworks (e.g. Node.js, Java, Python, Express.js, Flask)</li><li>Familiarity with databases (e.g. MongoDB, PostgreSQL)</li><li>Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines</li><li>Experience with Unit Testing</li><li>Decision-making skills, and capable to make justified trade-offs</li><li>Ability to drive suppliers with a long-term partnership mindset</li><li>Written and spoken fluency in English: ability to communicate clearly, formalizing complex topics in a synthetic manner and understandable for non-technical audience</li></ul> We Value: <ul><li>Experience in sensor technology</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives</li><li>LEAN development experiences</li></ul>&nbsp;Motivational/Cultural Fit: <ul><li>Result driven</li><li>Problem solving</li><li>Clear and concise communication</li><li>Passion for technology and innovation</li><li>Cross-Team Collaboration</li></ul>

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17 machine learnig Jobs found

Preventive Maintenance Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Senior Product Manager, Consumer Growth

IOT Solution Architect

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Skills

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Location

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17 machine learnig Jobs found

Preventive Maintenance Manager

Automation CCD/PLC Engineer

AI/ ML Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Fixture Design Manager

Senior Data Scientist

Senior Product Manager, Consumer Growth

IOT Solution Architect

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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