Sr. Manufacturing & Process Development Engineer

Data Engineer, Senior

Supervisor-Manufacturing Process Development Engineer

Distribution Resource Planner

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior Software Engineer 1 (.Net)

Principal Data Scientist

Software Engineer

Responsibilities: Automation &amp; Process Development <ul><li>Lead end-to-end development of automation systems, including concept design, hardware/software selection, prototyping, testing, validation, and full-scale implementation.</li><li>Conduct hands-on experimental trials to validate manufacturing processes and gather performance data.</li><li>Collaborate with Product Development teams to ensure designs align with automation and manufacturability standards.</li><li>Develop engineering specifications, preliminary designs, and support pre-production builds and testing.</li></ul> Process Optimization &amp; Problem Solving <ul><li>Apply data-driven methodologies such as Six Sigma, DMAIC, and 8D to identify root causes and improve process capability.</li><li>Analyze yield and process data to develop optimization strategies and enhance efficiency.</li><li>Research and implement new technologies and manufacturing techniques to improve quality and reduce costs.</li></ul> Project &amp; Stakeholder Management <ul><li>Manage multiple engineering projects simultaneously in a fast-paced environment.</li><li>Collaborate with vendors and cross-functional teams to support automation and process development initiatives.</li><li>Provide technical leadership and communicate complex concepts effectively to stakeholders.</li></ul> Documentation &amp; Innovation <ul><li>Prepare detailed technical documentation, design drawings, and process implementation requirements.</li><li>Support submission of invention disclosures for innovative concepts.</li><li>Contribute to the development and deployment of next-generation manufacturing technologies, including AI-driven solutions.</li></ul> Requirements: Education <ul><li>Bachelor’s degree in Electrical, Mechanical, Robotics, Mechatronics, or Electro-Mechanical Engineering (minimum).</li></ul> Experience <ul><li>5–7 years of experience in automation systems and manufacturing engineering.</li><li>Proven experience leading automation projects from concept to implementation.</li></ul> Technical Skills <ul><li>Automation systems: PLCs, HMIs, VFDs, servo motors, sensors, and actuators</li><li>PLC programming: Omron, Siemens, Allen-Bradley</li><li>Industrial robotics troubleshooting: KUKA, ABB, EPSON</li><li>Vision systems: Keyence, Cognex</li><li>CAD tools: Creo, SolidWorks, AutoCAD (2D &amp; 3D)</li><li>Strong electrical and electronic troubleshooting skills</li><li>Experience with Six Sigma / DMAIC / 8D methodologies</li><li>Exposure to Artificial Intelligence (preferred)</li></ul>

Responsibilities: <ul><li>Design, develop and deploy process automation workflows to support Smart Factory operation.</li><li>Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.</li><li>Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.</li><li>With Product and Process knowledge, ensure data integrity for YMS tools.</li><li>Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).</li><li>Design, build and maintain Predictive AI Models to enable proactive decision-making.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with min. 2 years’ experience in Data Analytics field.</li><li>Proficiency in SQL and experience working with relational databases.</li><li>Strong working knowledge of statistics and its applications.</li><li>Experience in building automated reports.</li></ul>

Role Description: <ul><li>Manufacturing engineer is responsible for preparing the process sheets, tool design, establish overall strategic goals &amp; objectives of Manufacturing Engineering in alignment with organizational goals.&nbsp;</li><li>This role will be an individual contributor, which reports to MGR I MFG &amp; Process development engineer</li></ul> Responsibilities:&nbsp; <ul><li>Analyze new technology and manufacturing processes.</li><li>Plan and assess the feasibility of new and running projects.</li><li>Ensure good interfaces between Production, Production Planning, Engineering, QC and other functions.</li><li>Plan, design, and monitor manufacturing improvement processes using work study techniques. Ensure Day to day accountability &amp; support Production team to achieve targets by process improvements, training, FAI etc.&nbsp;&nbsp;</li><li>Develop new process and create all process documents like PFC, PFMEA, Control plan and SOP by understanding the depth of product requirements.&nbsp;</li><li>Vendor management, Programming, Installation, and commissioning of new Equipment’s and co-ordinate with CFT for complete process validation.&nbsp;</li><li>NPI/NPD projects execution, development and creation of all required FAI documentations and approvals.&nbsp;</li></ul> Requirements: <ul><li>BE/ B.Tech (Industrial/Electronics, Mechanical)</li><li>Minimum 7 to 9 years of industrial experience with 4 years of project management experience.</li><li>Experience in quality &amp; productivity improvement projects Experience in New product development from scratch i.e. customer order to Production handover</li></ul>

Role Description:&nbsp;&nbsp; <ul><li>The Distribution Resource Planner works alongside the Regional Distribution Planner in guaranteeing uninterrupted supply to customers and/or our client sites by balancing supply, demand and inventory.&nbsp;</li><li>The role serves in active partnership on all supply related questions from business partners (BO Management, Demand Manager, Product Quality, Sales, Logistics, Customers Service, Manufacturing and Supply Planner).&nbsp;</li><li>This person will work closely with Global planning and functionally reports to the Supply Chain Manager.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Inventory: Responsible for administration around inventory movements, manage inventory levels and replenishment orders,you manage aged &amp; blocked inventories, relabeling.&nbsp;</li><li>Furthermore, responsible for monthly reconciliations of inventory levels stored at 3rd party warehouses and consignment.&nbsp;&nbsp;</li></ul> <ul><li>Planning: Monitor the 6-month rolling supply plan for imported products as assigned aligned with the regional planner,understand and execute the key analytics in line with the supply processes to ensure optimal demand &amp; supply balance.&nbsp;</li><li>This includes for example coordination on the drumming schedule and vessel arrangements.&nbsp;&nbsp;</li></ul> <ul><li>Projects &amp; Coordination: Initiate improvement opportunities (processes, tools and knowledge) and support implementation of these pro-actively, including optimization of shipment modes, loads and packaging based on costs and inventory.&nbsp;</li></ul>&nbsp;<ul><li>Reporting: Assume responsibility for effective and timely Analysis and Reporting, analyze demand data and measure forecast accuracy, support in the evaluation and maintenance of Safety Stock and Target Inventory numbers for the region and ensures full compliance with Corporate Standard Operating Procedures and all Sarbanes Oxley required processes&nbsp;</li></ul> <ul><li>Safety - Comply with our client safety and wellness musts, complete required HSES trainings through TEDS.&nbsp;Actively engage and promote activities that will enhance safety culture&nbsp;&nbsp;</li></ul> <ul><li>Short Term Planning - Develop and maintain the 6-12 month rolling supply plan for assigned product lines and be an active partner on all supply questions for business partners (BU Management, Demand Managers, Sales, Logistics, Customer Service and Supply Planners)&nbsp;&nbsp;</li></ul> <ul><li>Long Term Planning - Actively supports the Supply Manager in developing the 24 month supply plan for assigned product lines.&nbsp;&nbsp;</li></ul> <ul><li>Demand Verification - Analyze (6 month) demand data, measure forecast accuracy, take appropriate actions, engage with commercial team on forecast changes and document/report out on those&nbsp;&nbsp;</li></ul> <ul><li>Analytics - Understand and execute the key analytics in line with the supply processes to achieve optimal demand &amp; supply balance (re-ordering strategy and execution, reacting to changes in demand)&nbsp;&nbsp;</li></ul> <ul><li>OPEX - Participate in regional (OpEx) meetings that are being held for the business planning for&nbsp;Metrics - Develop, maintain and review inventory measures and take appropriate actions (a.o. safety stock review, dead stock review, 60-100 day file, EEOA, DQO). Review, understand, and drive improvement in HOC metrics (Metric Pack)&nbsp;&nbsp;</li></ul> <ul><li>Master Data - Master data analysis and maintenance, reviewing the settings against ever changing environment and achieve right master data settings to enable best planning results&nbsp;&nbsp;</li></ul> <ul><li>Knowledge - Actively seeks to increase product and market knowledge, Understand business and product strategies for the product range covered&nbsp;&nbsp;</li></ul> <ul><li>Reconciliations - Responsible for monthly reconciliations of inventory levels stored at 3rd party warehouses and ensuring appropriate approvals for adjustments&nbsp;&nbsp;</li></ul> Requirements: Basic Qualifications:&nbsp; <ul><li>Bachelor or Master degree in Logistics, Supply Chain or Industrial Engineering or related business fields is required&nbsp;</li><li>APICS CPIM or comparable certification is a strong pre, demonstrated experience with planning &amp; inventories&nbsp;&nbsp;</li><li>Minimum of 3 years of Planning or Supply Chain experience in an International environment&nbsp;</li><li>Good analytical skills&nbsp;</li><li>Advanced Excel skills&nbsp;</li><li>Fluent in English is required, both verbal and written.</li><li>Additional languages are a plus Preferred Qualifications:&nbsp;&nbsp;</li><li>Experience with SAP / ERP system is a plus.&nbsp;&nbsp;</li><li>Work structured and methodologically in a constant changing environment&nbsp;</li><li>Self-starter, results orientated and independent thinker – always looking for improvement opportunities&nbsp;</li><li>Ability to assemble info to make a big picture, while also able to dive into the underlying details&nbsp;</li><li>Customer focused, pro-active&nbsp;</li><li>Adhere to health, safety and environmental policies and procedures to ensure the safety and wellbeing of self, other staff and visitors</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain scalable software solutions for the eCommerce domain.</li><li>Work as a key member of an agile Scrum team, actively participating in sprint planning, backlog refinement, daily stand-ups, and retrospectives.</li><li>Collaborating closely with development leads to align on technical direction, architecture, and implementation strategies.</li><li>Analyze and solve complex problems across the stack, from front-end interfaces to back-end services and integrations.</li><li>Understand business and technical requirements to create high-quality, maintainable deliverables.</li><li>Participate in code reviews, design discussions, and continuous improvement of engineering practices.</li><li>Ensure high standards of code quality, reliability, and system performance.</li><li>Support incident resolution and platform stability initiatives.</li></ul> Requirements: <ul><li>4+ years of hands-on programming experience in one or more languages such as Java, C#, JavaScript, Python, Spring boot etc.</li><li>Proven ability to learn and adapt quickly to new technologies, frameworks, and platforms.</li><li>Strong understanding of software engineering principles, design patterns, and scalable architecture.</li><li>Solid experience with RESTful APIs, microservices, and modern development tools (Git, CI/CD, etc.).</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Working knowledge of relational and/or NoSQL databases.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.</li><li>Prior experience or understanding of eCommerce systems, shopping carts, order management, product catalog, payment integration, etc., is highly desirable.</li><li>Exposure to DevOps practices, automation, and monitoring tools is a plus.</li><li>Excellent communication and collaboration skills, especially in a distributed team setting.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust, scalable, and secure web applications.</li><li>Utilize Object-Oriented design principles and best practices to ensure high-quality software.</li><li>Write clean, efficient, and well-documented code in C# with both .NET Core and .NET Framework.</li><li>Ensure adherence to Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Create and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.</li><li>Automate repetitive tasks in the software development lifecycle, including builds, testing, and deployments.</li><li>Configure and maintain infrastructure for CI/CD pipelines, including servers and containerized environments.</li><li>Leverage cloud platforms like AWS, Azure, or GCP for scalable infrastructure and application management.</li><li>Incorporate DevOps principles to foster collaboration between development and operations teams.</li><li>Integrate unit testing frameworks (e.g., NUnit) into pipelines to ensure robust software quality.</li><li>Utilize test-driven development practices to enhance software reliability.</li><li>Work closely with developers, QA engineers, and operations teams to streamline workflows and address feedback.</li><li>Demonstrate strong communication skills to present ideas, solutions, and progress effectively.</li><li>Monitor CI/CD pipeline execution and troubleshoot issues promptly to minimize downtime.</li></ul> Requirements: <ul><li>Demonstrated knowledge of software application development (certifications and experience considered in lieu of a degree).</li><li>6+ years of experience in software development using C# and .NET.</li><li>5+ years of experience in developing .NET applications, including .NET Core and .NET Framework.</li><li>Proven experience in building enterprise-level web applications.</li><li>Strong background in Object-Oriented design and development.</li><li>Advanced JavaScript experience, including closures and prototype inheritance.</li><li>Proficiency in SQL (DDL and DML) and experience managing database structures.</li><li>Solid understanding of Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Demonstrated use and knowledge of design patterns and cloud-native technologies.</li><li>Experience with Agile methodologies and iterative development processes.</li><li>Proficiency in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline is required.</li></ul> Preferred work experience and skills: <ul><li>Strong proficiency in C#, JavaScript, and scripting languages like Bash, Python, or PowerShell for task automation.</li><li>Expertise in popular CI/CD platforms like Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline.</li><li>Deep understanding of Git and branching strategies for effective code management.</li><li>Familiarity with unit testing frameworks like Unit, JUnit to integrate automated testing into pipelines.</li><li>Knowledge of cloud platforms like AWS, Azure, or GCP for scalable infrastructure management.</li><li>Familiarity with containerized environments (e.g., Docker, Kubernetes) and microservices architecture.</li><li>Exceptional problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Self-motivated and able to work independently with minimal supervision.</li><li>Detail-oriented with excellent organizational skills.</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Senior Software Engineer: Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Software Engineer: Minimum requirement of 2 years of relevant work experience.</li><li>Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

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56 programming languages Jobs found

Sr. Manufacturing & Process Development Engineer

Data Engineer, Senior

Supervisor-Manufacturing Process Development Engineer

Distribution Resource Planner

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior Software Engineer 1 (.Net)

Principal Data Scientist

Software Engineer

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56 programming languages Jobs found

Sr. Manufacturing & Process Development Engineer

Data Engineer, Senior

Supervisor-Manufacturing Process Development Engineer

Distribution Resource Planner

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior Software Engineer 1 (.Net)

Principal Data Scientist

Software Engineer

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

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