Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

MPDE CA Process Design Engineer(Senior Engineer)

Research Associate – II Nitrosamines

Role Description: <ul><li>Become passionate about your employer and the brand you represent.</li><li>Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>We have employees with ground breaking ideas that impact everything.</li><li>We take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities</li><li>Come prepared to be encouraged and inspired.</li><li>You will work with Sales account teams, core services specialists, architecture specialists, renewals team, the CX organization and Practice Delivery &amp; internal cross-functional teams</li></ul> Responsibilities: <ul><li>As a Services Specialist Premium for a set of named accounts, You will lead all aspects of the customer account with respect to Premium Services/Sophisticated Services and drive the execution of customer facing activities to conclusion in a quality, timely, and accurate manner.</li><li>Handle service pricing and margins according to agreed upon terms and work with cross functional teams.</li><li>You will plan and prioritize sales activities and customer/prospect contact towards achieving business objectives around Advanced Services</li><li>You will collaborate with cross-functional teams to create and lead account plans using all relevant data.</li><li>Identify customer business issues, challenges, care-abouts</li><li>You will communicate, liaise, and negotiate internally and externally using appropriate methods to facilitate the development of profitable business and sustainable relationships.</li></ul> Requirement: <ul><li>﻿Subject matter expert on Technology &amp; cross-Architecture solutions/Services. Understand customers’ technology landscape (Applications/Infra/Architecture) well &amp; are able to play an advisory role to account teams &amp; customers.</li><li>You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships.</li><li>You have Customer Focus: Supporting customers during the sales process; seeking and taking appropriate actions on customer requirements while balancing business needs; resolving difficult issues in a timely and professional manner; taking responsibility for customer satisfaction and loyalty.</li><li>You negotiate: Optimally exploring interests and options to reach outcomes that gain the agreement and acceptance of all parties by using legitimate data, objective criteria to support ones proposal.</li><li>You are a Critical Thinker: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to address sales challenges and new opportunities; taking courses of action based on sound analysis and judgment.</li><li>14+ years of sales experience in IT products or services sales</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Role Description: <ul><li>Executes complex simulations in CFD and Thermal to optimize design and manufacturing.</li><li>Develops complex Multiphysics simulation methods that meets design requirements in thermal management of Electronic Systems, especially in high-speed transceivers, connectors, and their assemblies.</li></ul> Responsibilities: <ul><li>Leading the development and implementation of complex Thermal simulation models to optimize manufacturing, designs or processes.</li><li>Perform calculation &amp; simulation on temperature distribution over system.</li><li>Conducted thermo-mechanical and structural simulations to support design optimization, material selection, and validation from concept to production.</li><li>Proficient in simplifying complex CAD geometries for efficient structural and thermal simulation analyses</li><li>In-depth knowledge of mechanical design, conductive, convective, &amp; radiation heat transfer, and fluid flow mechanics.</li><li>Collaborate with designer, manufacturing, and testing teams to correlate CFD &amp; Thermal Simulation results with physical testing</li><li>Experience with DOE (Design of Experiments) and optimization techniques.</li></ul> Requirements: <ul><li>BE/ B.Tech (Mechanical)</li><li>M Tech (Mechanical) (preferred)/ PHD</li><li>Knowledge of products, design processes and methodology.</li><li>Proficiency in state-of-the-art&nbsp;</li><li>Proficiency in use of MS Office tools.</li><li>Knowledge of associated manufacturing processes (molding, stamping, plating, crimping &amp; assy).</li><li>Knowledge about the Soldering, crimping &amp; welding technologies.</li><li>Knowledge on technical paper publications &amp; applying for patents.</li><li>8- 12 years of industry experience.</li><li>Expertise in Ansys Workbench.</li><li>Experience on connector products (Plastic and Sheet Metal parts).</li><li>Knowledge on material science (Metals, Resins &amp; hyper elastic material) and implement for simulation.</li><li>Correlation of Test and simulation data / results.</li><li>Expertise on CAE tools, Optimization techniques, and testing methods.</li><li>Implementing of LEAN / 6 Sigma / Kaizen techniques to live projects.</li></ul>

Responsibilities: <ul><li>Manage the day-to-day activities of the team in a safe environment and be responsible for Health and Safety goals.</li><li>Deliver on all KPIs that help the business achieve its objectives.</li><li>Lead and drive QA initiatives within the functional area.</li><li>Provide quality input and support to Manufacturing, Engineering, Prototype, and Commercial functions.</li><li>Lead, coordinate, and maintain risk assessment documentation (e.g., FMEAs).</li><li>Investigate the root cause of quality issues and implement timely and effective corrective actions to prevent recurrence for both customer and internal issues.</li><li>Strategically lead new product introduction (NPI) and contract reviews from a QA perspective.</li><li>Prepare and update Operations procedures and associated documentation.</li><li>Overall responsibility for functional area GMP standards and compliance, including promoting quality awareness.</li><li>Establish inspection standards, sampling plans, and test methods.</li><li>Report quality metrics to management.</li><li>Develop strong links with customer organizations and other project stakeholders.</li><li>Review validation documentation for the functional area.</li><li>Perform and support internal and external audits to ISO and FDA requirements.</li><li>Actively contribute to the continuous improvement of the Quality Management System.</li><li>Supervise and provide direction to quality personnel.</li><li>Perform other tasks as directed by the Operations Quality Manager in line with company goals.</li></ul> Requirements: <ul><li>Level 8 degree in Science, Engineering, or related field.</li><li>Minimum of 5 years industry experience in a medical device manufacturing environment.</li><li>People management experience.</li></ul> Key Requirements <ul><li>Clear understanding of medical device quality systems and requirements, including measurement techniques.</li><li>Experience managing and leading a team.</li><li>Strong CAPA experience.</li><li>Strong root cause analysis and problem-solving skills.</li><li>Knowledge of FDA and ISO Quality systems for medical device companies is desirable.</li><li>Experience in new product introduction (NPI) and manufacturing process transfers is desirable.</li><li>Demonstrated excellent organizational skills and ability to work independently.</li><li>Excellent written and verbal communication skills.</li></ul>

Responsibilities: <ul><li>Lead development and execution of standardized DfRE and RV methodologies across Converged Products.</li><li>Champion a Design for Six Sigma (DFSS) culture, mentoring and training product design teams.</li><li>Oversee product validation, including HALT/HAST testing, Test-to-Failure (TTF) methodologies, and DOE approaches.</li><li>Collaborate with Product Development Engineering (PDE), Manufacturing Process Development Engineering (MPDE), Field Application Engineering (FAE), and Advanced Quality Engineering (AQE) teams to integrate reliability considerations throughout the product lifecycle.</li><li>Develop comprehensive test and validation plans aligned with our client LeanPD stage-gate approach.</li><li>Drive early concept testing, failure mode identification, and iterative product design improvements.</li><li>Support failure analysis (F/A), Root Cause and Corrective Action (RCCA), and competitive benchmarking activities.</li><li>Partner with Global R&amp;T COE to develop custom test equipment, test systems, and software for unique testing requirements.</li><li>Manage and coach a high-performing team, ensuring clear accountability, skill development, and work-life balance.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or Mechatronics.</li><li>10+ years of experience in all aspects of reliability engineering for electronic or mechatronic products (reliability estimation, calculation, and risk identification).</li><li>Extensive experience with test equipment, test systems, labs, HALT/HAST testing, validation plans, and custom test systems.</li><li>Proven experience working with global, cross-functional engineering teams in multi-site organizations.</li><li>Strong analytical, critical thinking, and problem-solving skills.</li><li>Knowledge of FIT estimation methodology, Weibull/Chi-Square statistical analysis, FMEDA, FTA, and Bayes theorem applications.</li><li>Reliability engineering training from ASQ, TUV, Reliasoft, or equivalent.</li><li>Excellent written and verbal communication skills in English.</li><li>Willingness to travel up to ~20%.</li></ul>

Responsibilities: Prototype Build and Trial Production Support: <ul><li>Participate in new product development projects, responsible for the fabrication, assembly, and preliminary testing of prototypes, ensuring timely delivery of samples required for design verification.</li><li>Support small-batch trial production (NPI) activities; operate equipment according to trial process plans, execute production processes, and accurately record various parameters and data during trial production.</li><li>Assist engineers in setting up and debugging temporary production lines or jigs and fixtures required for trial production, and participate in the on-site acceptance and debugging of new equipment and tooling, providing feedback from an operators perspective.</li></ul> Production Issue Identification and Preliminary Analysis: <ul><li>During prototype building and trial production, closely monitor and meticulously document all process, assembly, equipment, or material issues (e.g., assembly interference, performance deviation, equipment instability).</li><li>Conduct preliminary analysis of problems based on hands-on experience, providing engineers with detailed observations and firsthand descriptions to assist in root cause analysis.</li></ul> Process and Documentation Assistance: <ul><li>Based on hands-on trial production experience, assist engineers in developing, optimizing, and creating necessary process documentation for both trial and mass production, including but not limited to:</li><li>Standard Operating Procedures (SOPs)</li><li>Equipment Operation Manuals</li><li>Equipment Daily Check and Maintenance Plans</li><li>Ensure the practicality and usability of process documentation to lay a solid foundation for subsequent mass production.</li><li>Participate in trial production reviews, providing feedback on process optimization from an operators viewpoint.</li></ul> Production Transfer and Knowledge Handover: <ul><li>Play a key role in transferring process and operational knowledge to the mass production team during the transition from trial to mass production.</li><li>Participate in training mass production operators, ensuring they master the correct operating methods and quality control points for the new product.</li></ul> Requirements: <ul><li>Vocational school, technical school certificate, or associate degree in Mechanical, Electronic, Automation, Mechatronics, or other related engineering fields.</li><li>Experience Requirements</li><li>Typically requires 1-3 years of experience in manufacturing. Preference given to those with experience in New Product Introduction (NPI), prototype building, trial production support, or as an R&amp;D assistant.</li><li>Familiarity with product development processes is preferred.</li></ul>

Responsibilities: <ul><li>Develop high speed cable assembly manufacturing process in accordance with&nbsp;</li><li>product development&nbsp;</li><li>Drive for excellence in existing manufacturing technologies and methods&nbsp;</li><li>Strive to implement new manufacturing technologies to provide improved process and&nbsp;</li><li>tolerance control&nbsp;</li><li>Support Product Development in the optimization designs (DFM) and piece parts for&nbsp;</li><li>manufacturability; realizes sample tooling, product samples and prototypes.</li><li>Design, develop, and qualify tooling and processes to meet Data and Devices&nbsp;</li><li>quality and production standards.&nbsp;</li><li>Support supply chain to verify supplier compliance and capability.&nbsp;</li><li>Act as the binding element between product development and manufacturing engineering,&nbsp;</li><li>ensuring the effectiveness and efficiency of this critical interface.&nbsp;</li><li>Maintain communication with project management team to understand current and future&nbsp;</li><li>strategic business needs&nbsp;</li><li>Prioritize and time manage a portfolio of projects/work efforts based on criticality and business&nbsp;need&nbsp;</li><li>Provide readouts to Director and VP level cross function management as necessary&nbsp;</li><li>Work with Dongguan operations team to assign resources necessary for the successful&nbsp;</li><li>execution of new product development&nbsp;</li><li>Facilitate and coordinate cross-function communication across globally matrixed organization&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Bachelor or above degree with mechanical/electric related majors.&nbsp;</li><li>At least 5 years related experience managerial level in multinational manufacturing site.&nbsp;</li><li>Familiar with Lean, Six Sigma. etc. industrial methods/tools.&nbsp;</li><li>With 2 years or above work experience in cable assembly industry is preferred.&nbsp;</li><li>Fluent in English and good presentation skills.&nbsp;</li><li>Familiar with MS software.&nbsp;</li><li>Familiar with industrial specification (i.e. IPC 620)</li></ul>

Responsibilities: Process Solution Development: <ul><li>Design or optimize production process routes based on product design drawings (e.g., mechanical structures, electrical schematics), including raw material selection, process planning (e.g., cutting, wire pre-treatment, welding, forming, assembly, testing), equipment selection and parameter setting, and DOE development to ensure mass and stable production.</li><li>For new products (e.g., mechanical parts, electronic components), organize DFM reviews within the MPDE department, provide optimization suggestions from a manufacturability perspective, develop trial production process plans, participate in trial production, and resolve process issues (e.g., dimensional deviations, assembly difficulties, inefficiencies).</li></ul> Process Documentation: <ul><li>Prepare standardized process documents, such as SOPs, process flowcharts, PFMEA, and inspection standards, to clarify operational specifications and quality control points for each process, ensuring unified execution by production personnel.</li></ul> Production Efficiency and Quality Optimization: <ul><li>Analyze existing production processes, use lean production tools (e.g., 5S, value stream analysis) or technical improvements (e.g., introduction of automated equipment, process consolidation) to reduce production costs, shorten cycle times, and enhance capacity.</li><li>Collaborate with the quality department to investigate the causes of quality anomalies (e.g., excessive defect rates) from a process perspective (e.g., insufficient equipment precision, unreasonable process parameters), develop improvement measures, and validate their effectiveness through DOE.</li></ul> Cross-Department Collaboration: <ul><li>Work with R&amp;D departments, participate in product design reviews, provide suggestions from a process feasibility perspective (e.g., simplifying structures to reduce assembly difficulty), and promote Design for Manufacturability (DFM).</li><li>Communicate with supply chain departments to confirm the process compatibility of raw materials and assist in resolving process-related issues with purchased materials. Cooperate with production departments to train operators on new processes and equipment, ensuring successful implementation.</li><li>Collaborate closely with automation teams, participate in automation solution reviews, and develop validation methods.</li></ul> Technological Innovation and Cost Reduction: <ul><li>Stay updated on industry advancements (e.g., 3D printing, smart inspection equipment, laser welding), evaluate their applicability to existing production, and drive process upgrades. Achieve cost reduction through process optimization and the use of alternative low-cost materials (without compromising quality).</li></ul> Requirements: Education and Major: <ul><li>Bachelor’s degree or higher in Mechanical Engineering, Materials Science and Engineering, Industrial Engineering, Electrical Automation, or related fields.</li></ul> Knowledge and Skills: <ul><li>Mastery of fundamental manufacturing process principles (e.g., machining, electronic assembly, heat treatment) and familiarity with production processes in at least one industry (e.g., automotive parts, electronic devices, machinery manufacturing).</li><li>Strong process analysis skills, ability to interpret drawings using CAD/SolidWorks, and perform data analysis with tools like Minitab (e.g., analyzing defect rate causes).</li><li>Knowledge of quality and efficiency improvement methods such as Lean Production and Six Sigma; prior experience in process optimization projects is preferred.</li></ul> Experience Requirements: <ul><li>Typically requires 5+ years of experience in process development or production technical support in relevant industries; familiarity with high-speed cable equipment and process requirements is preferred.</li></ul>

Job Overview: <ul><li>The Research Associate – II – Nitrosamines is responsible for conducting analytical research, method development, and risk assessment activities focused on nitrosamine impurities in pharmaceutical products.&nbsp;</li><li>The role supports regulatory compliance, safety assessment, and mitigation strategies in line with global regulatory requirements (such as those from the FDA, EMA, WHO, and ICH M7). This position requires a strong understanding of organic chemistry, analytical instrumentation, and impurity profiling.</li></ul> Responsibilities: <ul><li>Development, validation, and transfer of LC/MS methods for quantitative determination of Nitrosamine impurities (Small Molecules and NDSRIs) at ppm to sub-ppb levels</li><li>Design and execution of experiments to identify root causes of Nitrosamine formation and develop mitigation strategies</li><li>Perform chemical extractions of container closure systems and drug product solutions</li><li>Utilize advanced mass spectrometry techniques (LC-MS and GC-MS) for identification and quantification of Nitrosamines</li><li>Prepare technical reports and support documentation for regulatory filings</li><li>Collaborate with subject matter experts, supervisors, and cross-functional teams</li><li>Interpret analytical data, evaluate results, and incorporate findings into project goals</li><li>Maintain compliance with relevant Quality System Regulations and GxP standards</li></ul> Requirements: <ul><li>Experience: 6–10 years in analytical chemistry focused on Nitrosamines</li><li>Education: Master’s degree or equivalent experience; PhD preferred with relevant experience</li><li>Skills Required:</li><li>Proficiency in LCMS/GCMS instrumentation and troubleshooting</li><li>Strong knowledge of Nitrosamine chemistry and analytical techniques</li><li>Experience in method development, validation, and regulatory reporting</li><li>Ability to analyze complex data and draw meaningful conclusions</li><li>Good documentation and technical report writing skills</li></ul>

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28 calculation methods Jobs found

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

MPDE CA Process Design Engineer(Senior Engineer)

Research Associate – II Nitrosamines

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28 calculation methods Jobs found

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

MPDE CA Process Design Engineer(Senior Engineer)

Research Associate – II Nitrosamines

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

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