Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

Signal Integrity Staff Engineer

Mechatronics Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Role Description: <ul><li>Conduct new equipment introduction (automation) and set the equipment Maintenance plan and machine operation instruction, support Process ME (Cable and Cable Assembly) team for the new product pilot run with the objective of meeting production requirements and ensure the machine stability on production within Engineering policies, procedures and systems.</li></ul> Responsibilities: <ul><li>Equipment Development Project Subject matter expert and work with vendors to develop, set up/debug automation machine; Timely feedback and solve the problem to ensure the progress of the project.</li><li>Programming &amp; Digitalization Provide automatic control equipment programming according to the production needs and provide digital solution to implement site digital factory projects to improve process control real time.</li><li>Trouble Shooting Problem identification and trouble-shooting a wide range of complex electrical problems for automation line and be responsible for the effective communication across the company.</li><li>Technical Guidance Line maintenance/change over together with/guiding the engineers and technicians to make sure automation machine run smoothly.</li></ul> Requirements: <ul><li>Bachelor’s degree or above, majored in Automation or Electrical Engineering, familiar with electrical control theory and design.</li><li>At least 7+ years experience with automated machines maintenance and electrical design.</li><li>Familiar with Vision Inspection (Keyence/Cognex), Programmable Logic Controllers (PLC),Pneumatics, sensors, motors and other motion control devices.</li></ul>

Responsibilities: Test System Development: <ul><li>Provide hardware and software integration support for high-speed tester and function tester.</li><li>Optimize the testing system to improve the production efficiency.</li><li>Research potential products opportunities and conduct feasibility analysis and provide feedback to supervisor in order to meet business development requirements.</li></ul> Testing Result Data Statistic Analysis: <ul><li>Develop software for automation data process and trend analysis in order to provide accurate reports to meet customers requirement.</li></ul> EEPROM Programming System Support: <ul><li>Add new feature for the Nimshi software per the production requirement;</li><li>Support for new station setup and software update</li><li>Review new product EEPROM setup and work with PDE for issue solution in order to meet business development requirements.</li></ul> Electrical Testing Setup: <ul><li>Support for new product electrical testing setup and related failure analysis to meet business development requirements.</li></ul> People Training: <ul><li>Conduct trainings and deliver testing methods and software automation usage to engineer/technician for work efficiency improvement in order to improve team college skills.</li></ul> Testing Standard Review and Update: <ul><li>Review the initial setup for Bulk cable and cable assembly test standard limit; Update the EEPROM check script when new revision released to meet business development requirements.</li></ul> Laboratory Equipment Operation Methods and TPM: <ul><li>Review laboratory equipment operation methods and monitor high speed testing equipment operation in order to improve laboratory Equipment Operation efficiency.</li></ul> Requirements: <ul><li>Bachelor Degree in Electronic technology and science application major</li><li>Direct experience in product testing&nbsp;</li><li>Must have experience in Vector Network Analyzer (VNA) and Time Domain Reflectometry (TDR) or similar</li><li>5 years high speed testing working experience</li></ul>

Role Description: <ul><li>The Position has been created to lead a team of Mechanical Designers, Electrical Automation Engineers and Technicians of the Operations team to define the process and build the machines needed to make the new products in line with the strategy map and market demand.</li></ul> Responsibilities: <ul><li>Responsible for working with a team of engineers for new project launches. Coordination with different technology leads connected with new projects. Collaborating with ME, OPS, AQE, NPI and PLTL team for execution of all new projects as per agreed APQP timelines.</li><li>Responsible for execution of PLTL projects and adherence to launch sheet requirements.</li><li>End to End responsible for capturing the voice of Customers and All Stakeholder requirements of the product to meet the expectations</li><li>Act as a purposeful bridge between ME and operations.</li><li>Work closely with project management and NPI procurement for capacity and streamlined supplies&nbsp;</li><li>Identify safety, quality and cost saving opportunities on new and existing projects.</li></ul> Requirements: <ul><li>Technical Degree/Diploma in Mechatronics - NTTF/BE</li><li>Hands own experience assembly of machines and troubleshooting</li><li>1 to 4+ years of experience working in medium or large matrix organizations.&nbsp;</li><li>Hands on Experience in designing and building Complex and high precision machines, high accuracy assembly automation machines for Automotive or electronics industries</li><li>Experience in Robot programming.</li><li>Vision inspection and testing machines like leakage testers and electrical testers experience&nbsp;</li><li>PLC and HMI Programming, Servo programming and tuning, and trouble shooting</li><li>Updated knowledge on current Programming Software and Design Software.</li></ul>

Responsibilities: <ul><li>Lead the design and development of LLM-powered solutions for clinical summarization, intelligent chat, and document understanding to improve patient care outcomes.</li><li>Architect and implement end-to-end machine learning pipelines, including Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone and Weaviate.</li><li>Fine-tune and optimize state-of-the-art language models (e.g., GPT, LLaMA, Mistral) and apply advanced prompt engineering to address specialty-specific healthcare use cases.</li><li>Own project delivery end to end, collaborating with stakeholders to ensure AI solutions are ethical, scalable, reliable, and well-governed.</li><li>Mentor and support junior data scientists, fostering a culture of experimentation, learning, and innovation.</li></ul> Requirements: <ul><li>Experience: 8–12 years in Data Science/ML, with at least 3+ years specifically focused on LLMs and Generative AI.&nbsp;</li><li>Technical Mastery: Deep hands-on expertise in Python and frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex.&nbsp;</li><li>Cloud Fluency: Proven ability to deploy models at scale using AWS SageMaker, Azure ML, or GCP Vertex AI.&nbsp;</li><li>MLOps Mindset: Experience with MLflow, Airflow, Docker, and Kubernetes to ensure our "bold innovations" are also stable and reliable.&nbsp;</li><li>Academic Foundation: A strong grasp of statistical analysis and evaluation techniques to mitigate hallucinations and ensure clinical accuracy.&nbsp;</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Responsibilities: <ul><li>Perform systems analysis and design for applications deployed using Ansible and OpenShift.</li><li>Design and develop moderate to complex applications in alignment with business and technical requirements.</li><li>Create, maintain, and ensure accuracy of comprehensive application documentation.</li><li>Define, build, and deliver application and system integration builds.</li><li>Monitor, evaluate, and apply emerging technology trends to improve system architecture and development practices.</li></ul> Requirements: <ul><li>5+ years of experience</li><li>Bachelor’s Degree or International equivalent&nbsp;</li><li>Extensive experience with core Java concepts and Java EE.</li><li>Extensive experience with Spring and Spring Boot.</li><li>Experience with CI/CD code automation, Ansible &amp; DevOps</li><li>Experience with OpenShift</li><li>Good understanding of software architecture and design principles.</li><li>Understanding of data structures, programming logic, and design</li><li>Understanding of application design patterns</li><li>Excellent written &amp; verbal communication skills</li><li>Excellent attention to detail</li></ul>

Responsibilities: Equipment Development Project <ul><li>Work with vendors to develop, set up/debug automation machine; Timely feedback and solve the problem to ensure the progress of the project</li></ul> Programming &amp; Digitalization <ul><li>Provide automatic control equipment programming according to the production needs</li><li>Provide digital solution to implement site digital factory projects to improve process control real time.</li></ul> Trouble Shooting <ul><li>Problem identification and trouble-shooting a wide range of complex electrical problems for automation line</li><li>Responsible for the effective communication across the company</li></ul> Technical Guidance <ul><li>Line maintenance/change over together with/guiding the technicians to make sure automation machine run smoothly</li></ul> Requirements: <ul><li>Bachelors degree or above, majored in Automation or Electrical Engineering, familiar with electrical control theory and design</li><li>At least 3 years experience with automated machines maintenance and electrical design</li><li>Familiar with Vision Inspection (Keyence/Cognex), Programmable Logic Controllers (PLC),Pneumatics, sensors, motors and other motion control devices</li><li>Experience specifying, programming, &amp; trouble shooting Servo Controls and electrical troubleshooting</li><li>Proven strong analytical and problem solving skills, good interpersonal skills.&nbsp;</li><li>Proficiency in English, both oral and written</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

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42 python programming Jobs found

Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

Signal Integrity Staff Engineer

Mechatronics Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

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42 python programming Jobs found

Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

Signal Integrity Staff Engineer

Mechatronics Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

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.