Sales & Marketing Support Executive

Plant Manager

Senior Manager Data Science

Warehouse and Logistics Supervisor

Senior Data Scientist II

Business Process Analyst – Supply Chain (Planning)

Fixture Design Manager

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

Job Summary: <ul><li>We are seeking a highly organized and detail-oriented Sales &amp; Marketing Support Executive to assist our sales and marketing teams in their daily operations.</li><li>This individual will play a key role in ensuring the smooth execution of sales strategies, marketing campaigns, and client relationships.</li><li>The ideal candidate will be proactive, communicative, and comfortable working in a fast-paced environment to help drive growth and brand awareness.</li></ul> Responsibilities: Sales Support: <ul><li>Assist the sales team in managing operation inquiries and processing orders.</li><li>Managing data &amp; providing reports – daily, weekly, monthly &amp; tracking of sales.</li><li>Maintain and update customer relationship management (CRM) tracker with client information and sales activities.</li><li>Provide administrative support for preparing quotes, proposals, and contracts</li></ul> Marketing Support: <ul><li>Help execute marketing campaigns (email marketing, social media, events, etc.).</li><li>Monitor and analyze campaign performance, generating reports to assess effectiveness.</li><li>Support in the marketing activations &amp; coordination, samples, POSM, gimmicks, events, etc.</li></ul> Administrative &amp; Coordination: <ul><li>Organize marketing events, trade shows, and promotional activities.</li><li>Manage inventory and distribution of marketing materials.</li><li>Provide general office support to ensure the sales and marketing teams function efficiently.</li></ul> Requirements: <ul><li>Bachelor’s degree in Marketing, Business Administration, or a related field.</li><li>Proven experience in a sales or marketing support role (2-3 years preferred).</li><li>Strong written and verbal communication skills.</li><li>Excellent organizational and multitasking abilities.</li><li>Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) and CRM tools (Salesforce, HubSpot, etc.)</li><li>Excel proficiency ,Pivot , VLOOK Up tables , managing tables&nbsp;</li><li>Dealing with data&nbsp;</li><li>Generating reports&nbsp;</li><li>Experience with digital marketing tools and social media platforms is a plus.</li><li>Ability to work well under pressure, manage multiple tasks, and meet deadline</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>

Responsibilities: <ul><li>Liable for the overall warehouse and logistics operations including receiving, warehousing/inventory control, pick-pack-ship, and distribution of raw material, components, supplies, and finished goods inventory.</li><li>Manages daily site logistics operations, processes, workflows, and escalation through proactive interaction with key stakeholders including production, planning, order fulfilment, materials management, and other supply chain teams.</li><li>Maintain inventory accuracy with appropriate materials transactions and effective communication schedules release data or all other logistics/materials requirement information to buyers, planners, manufacturing, and relevant teams.</li><li>Maintains a high standard of warehouse housekeeping/sanitation, supporting a lean work environment by promoting and delivers continuous improvement processes and programs.</li><li>Administers and accountable for government import &amp; export customs policies, tools, statistical reporting and compliancy to governmental classification &amp; regulatory licensing requirements.&nbsp;</li><li>Accountable to monitor and approve site logistics spend involving freight payment.</li><li>Plan and organize daily or near-term workload to maximize productivity and on time delivery target while supporting the broader organization.</li><li>Collaborates and coordinates with inter-departmental to meet or exceed all KPIs, goals, and objectives.</li><li>Site focal point on escalations involving transportation, warehousing, brokerage operations, and packaging, and crating issue resolution.</li><li>You are responsible to ensure a safe working environment by keeping track of work areas, equipment and tools such as PPE are correctly used.</li><li>Oversee direct reports career growth and development by leading, developing and mentoring, as a contribution to support the development of a strong leadership team and warehouse operation.</li><li>Effective communication with all levels of leadership; internally and externally (customer &amp; vendors).</li></ul> Requirements: <ul><li>Demonstrated leading experience of a warehouse that includes successfully driving a site warehouse’s physical inventory, cycle counts and companywide stock take.</li><li>Experience in leading warehouse in supporting production e.g. like receiving, kitting, outgoing and material handling.</li><li>Experience in leading operational teams involved receiving, warehousing/inventory management, and distribution of materials, supplies, components, equipment, and finished goods.</li><li>Understand warehouse and material handling operational discipline principles and techniques involving warehouse layout, picking, inventory counting, variance resolution and discrepant receipt management.</li><li>Strong leadership and people management.</li><li>Knowledge in WMS, ERP and Microsoft office (especially excel).&nbsp;</li><li>Ability to manage individual contributors (internal and external) performing site logistics operations.</li><li>Fluent in English language and primary local language (written and verbal).</li><li>Bachelor’s degree or equivalent experience preferred with Logistics or related courses.</li><li>Minimum 5 to 8 years’ Warehouse Management and Logistics supervisory experiences in manufacturing environment.</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: Process Documentation and Modelling: <ul><li>Collaborate with business stakeholders and process owners to understand and document existing processes using BPMN notation.</li><li>Create detailed process maps, workflows, and diagrams that accurately represent the end-to-end processes and related activities (process map should include clear RACI, Tools, WI)</li><li>Ensure that all process documentation is clear, consistent, and follows best practices in BPMN modelling.</li><li>Adopt Single Source of Truth concept, utilize BPMN-tool to create, update, and maintain process documentation in a centralized and accessible manner.</li><li>Ensure process KPI are documented</li></ul> Process Analysis and Optimization: <ul><li>Work with process owner to analyse processes &amp; identify inefficiencies, bottlenecks, and areas for improvement.</li><li>Work with process owner &amp; cross-functional teams to propose for process optimizations and enhancements using BPMN-tool capabilities.</li><li>Validate process changes with stakeholders and ensure that process improvements align with organizational goals, including handshake process to cross functional team</li></ul> System Knowledge &amp; Analysis: <ul><li>Understand D365 system logic &amp; guide users to follow the documented planning processes &amp; principles during day-to-day operation</li><li>Able to drill through system data &amp; perform analysis per business request</li></ul> Requirements:&nbsp; <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Management, Information Technology, or a related field. Masters degree is a plus.</li><li>Proven experience (typically 3+ years) in business process management, process documentation, or related roles.</li><li>At least 3 years working experience in operational supply chain functions (demand &amp; supply/material planning)</li><li>Excellent project management skills, planning, prioritization, ability to innovate and execute on solutions that matter, and provide timely updates/recommendations.</li><li>Good analytical, influencing and problem-solving skills and ability to handle team and client discussions.</li><li>Flexible to take on ad-hoc assignment or project as necessary.</li><li>Logical &amp; Analytical mindset with the ability to identify process improvement opportunities through data analysis.</li><li>Excellent communication skills, both written and verbal, to effectively collaborate with stakeholders and present complex concepts.</li><li>Understanding of process improvement methodologies such as Lean, Six Sigma, or Business Process Reengineering (BPR).</li><li>Familiarity with compliance and regulatory requirements related to business processes.</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>Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.</li><li>Optimize and manage the performance, scalability, and security of AI infrastructure.</li><li>Develop and maintain documentation for infrastructure design, configuration, and best practices.</li><li>Troubleshoot and resolve complex technical issues related to AI infrastructure.</li><li>Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.</li><li>Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li></ul> Requirements: <ul><li>Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bachelor’s degree in engineering, related field, or equivalent of experience.</li><li>Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.</li><li>Strong understanding of Cognitive Services and AI/ML concepts.</li><li>Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with diverse teams.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.</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>

Skills

Industry

Location

Jobtitle

55 machine operation Jobs found

Sales & Marketing Support Executive

Plant Manager

Senior Manager Data Science

Warehouse and Logistics Supervisor

Senior Data Scientist II

Business Process Analyst – Supply Chain (Planning)

Fixture Design Manager

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

55 machine operation Jobs found

Sales & Marketing Support Executive

Plant Manager

Senior Manager Data Science

Warehouse and Logistics Supervisor

Senior Data Scientist II

Business Process Analyst – Supply Chain (Planning)

Fixture Design Manager

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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