Senior Data Engineer

Senior Quality Specialist

Manufacturing & Process Development Engineer II (Wire & Cable)

Director, Data Science

Assistant Manager, Continuous Improvement

Continuous Improvement Analyst

Account Executive - Conglomerates and PSU Eastern Region

Sr. MFG & Process DVL Engineer

Test engineer

AP Analyst

Responsibilities: <ul><li>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</li></ul>

Responsibilities: <ul><li>Point of Contact for all quality matters, enquiries, and support to both internal and external customers</li><li>Develop, implement and align quality strategies to ensure processes and procedures meet quality excellence standards</li><li>Lead and mentor colleagues at sales operations offices, fostering a culture of excellence and accountability</li><li>Oversee the management of ISO 9001:2015 and quality system (CAPA, Change Management, Investigation, etc.)&nbsp;</li><li>Manage, own and investigate product complaints</li><li>Business Process Owner for Document Control</li><li>Analyse and track quality metrics such as Complaint KPI</li><li>Conduct/Host audits (internal and external) and inspections to ensure compliance with regulatory, quality and internal standards</li><li>Manage and negotiate quality agreements with end customers, group legal and global quality&nbsp;</li><li>Support quality documentation requests from customers</li><li>Ensure documentation and traceability of quality processes and corrective actions</li><li>Facilitate quality management reviews and relevant quality meetings</li><li>Manage supplier quality and conduct vendor assessments when necessary</li><li>Collaborate with cross-functional teams (e.g., global supply, sales, global quality, support teams) to resolve quality issues</li><li>Stay updated on industry trends, standards, and regulatory changes (where required)</li><li>Drive continuous improvement initiatives using Lean, Six Sigma, or other methodologies</li></ul> Requirements:﻿ <ul><li>Bachelor’s degree in Biological Sciences, Quality Engineering, or related fields</li><li>5+ years of experience in quality assurance, quality compliance, supplier quality or quality operations&nbsp;</li><li>Strong knowledge of QA methodologies, tools, and standards (e.g., ISO 9001:2015, ISO 13485, cGMP/GxP relevant)</li><li>Auditor certification in quality standards preferred</li><li>Strong knowledge in investigation and RCA methodology, and technical writing skills</li><li>Proficiency in quality management systems softwares (e.g., Trackwise)</li><li>Excellent analytical, problem-solving, and decision-making skills</li><li>Strong communication and interpersonal skills</li><li>Able to work in fast-paced, dynamic environments</li><li>Detail-oriented with a strategic mindset</li><li>Independent, Proactive and Task-driven</li><li>Leadership experience preferred</li></ul>

Responsibilities:&nbsp; <ul><li>Lead process development, implementation, and documentation for bulk cable manufacturing.</li><li>Support product/process validation and transfer activities.</li><li>Assist with product qualification, working closely with engineering and test lab teams.</li><li>Partner with Product Development/Design Engineering to ensure manufacturability.</li><li>Interact with test laboratories on process/product qualification tasks, including DOE, PFMEA, 8D investigations, and Failure Analysis (FA).</li><li>Support tooling specification and design for manufacturing processes.</li><li>Provide engineering support to additional manufacturing sites as required.</li><li>Collaborate with suppliers to ensure process compliance and capability.</li><li>Support SAFE (Safety Activities For Employees) and ISO quality compliance initiatives.</li><li>Provide technical support for manufacturing maintenance activities.</li><li>Participate in cross-functional projects that support business growth and continuous improvement.</li></ul> Requirements:&nbsp; <ul><li>Strong knowledge of materials, processes, and systems used in wire and cable manufacturing.</li><li>Proficient in CAD software for tooling and process design.</li><li>Practical knowledge and experience with SPC (Statistical Process Control), Six Sigma, and Lean Manufacturing principles.</li><li>Ability to manage multiple projects and deliver results under tight timelines.</li><li>Willingness to travel internationally up to 30% as required.</li></ul>

Responsibilities: Strategic Leadership:&nbsp; <ul><li>Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.</li></ul> Team Management:&nbsp; <ul><li>Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.</li></ul> Advanced Research Direction:&nbsp; <ul><li>Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage.</li></ul> Machine Learning and AI Solutions:&nbsp; <ul><li>Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.</li></ul> Data Collection and Preparation:&nbsp; <ul><li>Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.</li></ul> Data Visualization Strategy:&nbsp; <ul><li>Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.</li></ul> Cross-functional Collaboration:&nbsp; <ul><li>Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.</li></ul> Model Deployment and MLOps:&nbsp; <ul><li>Oversee the deployment of machine learning models into pro duction environments, ensuring scalability and reliability.</li></ul> Documentation Standards:&nbsp; <ul><li>Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.</li></ul> Budget and Resource Management:&nbsp; <ul><li>Manage departmental budget, resource allocation, and infrastructure needs for data science operations.</li></ul> Ethical AI Governance:&nbsp; <ul><li>Develop and enforce ethical guidelines and best practices for AI development and deployment.</li></ul> Requirements: <ul><li>Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.</li><li>10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.</li><li>Demonstrated experience in managing and scaling data science teams of 15+ professionals.</li><li>Proven record of delivering high-impact AI and ML solutions that have driven significant business value.</li><li>Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.</li><li>Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.</li><li>Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.</li><li>Strong business acumen with the ability to translate complex technical concepts into business value.</li><li>Excellent communication and leadership skills, with experience presenting to executive leadership.</li><li>Experience working in a global or multicultural environment.</li><li>Record of successful collaboration with product, engineering, and business teams.</li><li>Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.</li></ul>

Responsibilities: <ul><li>Strong knowledge with Continuous improvement tools and employs Lean methodology to support the annual Strategy Development&nbsp;</li><li>Ability to engage teams and upper management- be a face of the company at each department.</li><li>Experienced with Leader Standard Work behaviour activities.&nbsp;</li><li>Ability to handle a variety of tasks to work with plant leaders and the facility manufacturing team to execute existing processes.</li><li>Conducts regular assessments against the KWS phase progression criteria with the CIPO Team, identifies gaps, and puts actions in place to close the gaps.</li><li>Train, coach, and mentor others on enhanced processes on continual basis on CI and KWS tools and methodologies.&nbsp;&nbsp;</li><li>Acquires knowledge of KWS, lean manufacturing and industry “best in class” manufacturing operations practices to serve as a subject matter specialist.</li><li>Supports the Plant KWS team which consist of Center Of Excellence CIPO (members)</li><li>Supports the appropriate Center Teams based on Plant needs and KWS Phase progression.</li><li>Regular audits &amp; analysis to:&nbsp;&nbsp;</li><li>Identify and recognise areas of KWS compliance.&nbsp;</li><li>Identify, recognise and support implementation of KWS “best practices”</li><li>Identify areas of opportunity &amp; work with plant team to correct.</li><li>Works with other plants to share and implement KWS “best practices”</li><li>Support ongoing cross-functional teams savings opportunities analyses, tracking and updates.</li><li>Supports Technician Training in support of Technician Progression</li><li>In absence of Plant CI&amp; KWS Senior Manager, responsible for Site Daily Meeting Cadence with Tier 1-4 meetings and provides monthly analysis on the health and results sustainability.</li><li>Supports the Plant Smart Factory implementation.</li><li>To guard standards and regulations on EHS, QFS and other fundamentals by participating in and coaching during Leader Led Observations, Safety 7, Golden 6, and other EHS and QFS activities. Provide support and involvement in all internal and external audits.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field and&nbsp;</li><li>Minimum 5 years of experience in a manufacturing environment, with exposure to CI, Lean, or Six Sigma.</li><li>Able to work effectively in a fast-paced high-pressure environment</li><li>Understands and meets internal and external business needs with professionalism and a sense of urgency.&nbsp;</li><li>Experience in project management and cross-functional collaboration.</li><li>Able to balance conflicting priorities and still provide the organisation with clear direction and focus.&nbsp;</li></ul>

Responsibilities: Digital Factory Corporate Application Deployment: <ul><li>Responsible for the implementation and deployment of corporate-developed applications within factory settings, ensuring seamless integration and operation.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Continuously improve and optimize the performance of applications based on user feedback and system analytics.</li></ul> Digital Factory Local Application Development: <ul><li>Design, develop, and maintain digital factory applications that improve operational efficiency and support business growth within our manufacturing facilities.</li><li>Collaborate with cross-functional teams to understand and translate business requirements into technical solutions that drive process optimization and innovation.</li></ul> AI Model Development: <ul><li>Seamless collaboration with corporate AI teams to design and develop advanced AI models and tailored to specific business problems or application requirements.</li><li>Conduct research on the latest AI techniques and algorithms to continuously improve the performance and accuracy of existing models.</li></ul> AI Model Deployment and Maintenance: <ul><li>Oversee the deployment of AI models from development environments to production environments, ensuring a smooth transition and minimal disruption to business operations.</li><li>Set up monitoring and alert systems to detect and respond to any issues that may arise during the operation of the AI systems.</li><li>Provide ongoing maintenance and support for deployed AI models, including updating and retraining as needed to adapt to changing business conditions or data characteristics.</li></ul> Collaboration and Communication: <ul><li>Work closely with cross-functional teams including data scientists, software engineers, product managers, and domain experts to define project requirements and deliverables.</li><li>Communicate technical findings and progress to non-technical stakeholders in a clear and understandable manner.</li><li>Participate in team meetings, code reviews, and knowledge sharing sessions to contribute to the overall team development.</li></ul> Requirements: <ul><li>Total experience – 5+ years</li><li>On manufacturing digitalization, IT understandable, know basic of programming, system migration, IT related candidate in manufacturing engineering.</li><li>Cover both plant</li><li>Mandarin Speaking requirements is a must</li><li>Good to come from engineering background</li></ul>

Role Description: <ul><li>Join Strategic Enterprise team, a high-performing group that embodies a culture of empowerment and accountability.</li><li>We place equal emphasis on continuous learning and development, ensuring our people grow alongside the business.</li><li>Our team is committed to doing things the right way, with customer success at the heart of everything we do.</li><li>This is a unique opportunity to be part of a dynamic, supportive, and forward-thinking team that drives meaningful impact for our customers and partners.</li><li>We are seeking a highly experienced and achievement-driven Senior Account Manager to lead and expand strategic relationships with large conglomerates and Public Sector Undertakings (PSUs) based in Kolkata.</li><li>The ideal candidate will have over 12 years of proven success in managing complex accounts, constructing large deals, and driving significant business growth within strategic accounts.</li></ul> Responsibilities: <ul><li>Manage and grow relationships with key stakeholders and C-level executives in large conglomerates and PSUs.&nbsp;</li><li>Develop and execute strategic account plans that align with customer business objectives and solutions portfolio.&nbsp;</li><li>Lead the end-to-end sales cycle for large, complex deals, including opportunity identification, proposal development, negotiation, and closure.&nbsp;</li><li>Demonstrate strong achievement orientation by consistently meeting or exceeding sales targets and business goals.&nbsp;</li><li>Collaborate closely with cross-functional teams including Solutions Engineers, Premium Services sellers, and Channel Partners to deliver integrated solutions.&nbsp;</li><li>Utilize data analytics and market insights to identify upsell and cross-sell opportunities within assigned accounts.&nbsp;</li><li>Represent at industry forums and client executive meetings to enhance brand presence and influence.&nbsp;</li><li>Maintain accurate and timely sales forecasts, pipeline management, and account reporting.</li></ul> Requirements <ul><li>Minimum 15 years of experience in account management or sales, specifically managing large conglomerates and PSUs.&nbsp;</li><li>Proven track record of constructing and closing large, strategic deals.&nbsp;</li><li>Strong achievement orientation with a history of consistently exceeding sales targets.&nbsp;</li><li>Deep understanding of the Indian corporate and government sectors, with established relationships at senior levels.&nbsp;</li><li>Exceptional communication, negotiation, and interpersonal skills.</li><li>Ability to work independently and lead cross-functional teams in a dynamic environment.&nbsp;</li><li>Based out of Mumbai with willingness to travel as required.</li></ul>

Responsibilities: <ul><li>Participates in the Design and Development of tools and molding processes to support the development of new products.</li><li>Provides support in product development, manufacturing optimization designs, tooling sampling, product samples, and prototypes.</li><li>Determines the most suitable manufacturing concepts for tooling related to forecasted production quantities, quality requirements, and manufacturing location</li><li>Responsible for collaborating with global experts (CoE molding) to continuously update and improve operational standards regarding plastic injection molding</li><li>Responsible for providing budgets for new tools and molding processes.</li><li>Responsible for ensuring, together with the multidisciplinary team, that molds and processes are designed to produce high-quality products efficiently and effectively with the lowest possible cost.</li><li>Responsible for coordinating and tracking engineering changes to injection molds.</li><li>Responsible for supporting the management of resources for the mold shop area.</li><li>Responsible for participating in the Plants Continuous Improvement Programs.</li><li>Provides support in analyzing tooling and equipment capacities for new part numbers and changes in quoted volumes.</li><li>Responsible for participating in the development of new products, engineering changes for molds, ensuring adherence to engineering and internal standards.</li></ul> Requirements: Preferred Years of Experience / Minimum Qualifications: <ul><li>Bachelor’s degree in Mechanical Engineering or similar.</li><li>5+ years of experience in a similar role.</li><li>Team management experience.</li></ul> Required Skills and Competencies: <ul><li>Proficiency in design software (CAD): Creo (Pro-E), SolidWorks, Space Claim, AutoCAD, CATIA (preferably).</li><li>Proficiency in machining software (CAM): Creo ProNC, Mastercam, SolidCam (preferably).</li><li>Proficiency in plastic filling simulation software (CAE): Moldflow, Autodesk Moldflow, ANSYS.</li><li>Basic knowledge of plastic injection molding processes.</li><li>Strong knowledge in tool manufacturing, tool steel application/selection, heat treatment, and plating/coating.</li><li>Strong understanding of polymer technology, particularly engineering-grade resins.</li><li>Knowledge of Scientific Injection Molding and/or Mastermolding Certification (desirable).</li><li>Knowledge of Six Sigma and LEAN principles.</li><li>Knowledge of geometric tolerances.</li><li>Strong project management skills, with the ability to handle multiple projects simultaneously.</li><li>Understanding of practices, terminology, and tolerances associated with manufacturing, machining, grinding, wire EDM, casting, etc.</li><li>Availability to travel (25% of the time).</li><li>Proficiency in Microsoft Office Suite.</li><li>Knowledge of SAP.</li><li>Ability to exercise effective leadership.</li><li>Ability to read specialized reports (scientific and technical papers, legal reports).</li><li>Intermediate - Advanced English proficiency (85%).</li><li>Applicable knowledge for the position in IATF 16949 and ISO 14001.</li><li>Knowledge of the company’s safety regulations and environmental management system.</li></ul>

Responsibilities: <ul><li>Be familiar with ASTM/ISO test standards and internal specifications, develop corresponding operation procedures.</li><li>Carry out qualification tests according to specification/SOP, ensure test tasks can be finished within schedule.</li><li>Support PM to test competitor products and customer’s application test.</li><li>Learn to operate flame test chamber and master flammability test method per UL224 all tubing and VW-1.</li><li>Support to do verification test for NPD projects</li><li>Develop new and improve existing test capability based on product test requirement.</li><li>Carefully record test data and results, check and review test data to meet specification requirements.</li><li>Analyze root cause of test failure and propose corrective action.</li><li>Prepare relevant test reports.</li><li>Take part in document management training, then upload test reports into PDMlink for approval.</li><li>Be responsible for maintenance of test equipment and instruments, spot check equipment carefully.</li><li>Maintain equipment calibration list and perform regular outsourcing calibration before expiration.</li><li>Purchase expendable chemicals, spare parts and tools in time, ensure they are available in any time.</li><li>Implement 5S and personal protection per company’s policy, ensure tidy environment and safety in lab.</li><li>Train and qualify new technicians.</li><li>Other job assigned by lab supervisor.</li><li>Continuous improvement. Look for and suggest efficiency improvements within qualification laboratory.</li></ul> Requirements: <ul><li>College or bachelor degree with more than 2 years working experience, major in material science is preferred.</li><li>Proficient in listening, speaking, reading and writing with Mandarin and English.</li><li>Be good at thinking and strong practical ability.</li><li>Good communication and interpersonal skills.</li><li>Familiar with PC and office software.</li><li>Hard-working and studious.</li><li>Be careful and responsible.</li><li>Team-work spirit.</li><li>Able to manage multiple priorities.</li><li>Stress resistant.</li><li>Flexibility to travel to suppliers, customers, company location. In-line with local travel protocols.</li><li>Have knowledge of VW/BMW/Daimler OEM specification advantage, but not essential;</li><li>Compounding or extrusion advantage, but not essential.</li></ul>

Responsibilities: <ul><li>Perform invoice processing to ensure that all bills and employee reimbursements are settled accurately and on time</li><li>Coordinate with receivers to confirm that all invoices are matched and address any invoice discrepancies swiftly</li><li>Generate payment proposals for electronic transfers, checks, and wires, adhering to the global policy</li><li>Investigate and resolve payment issues while collaborating with both internal and external stakeholders</li><li>Maintain records of all AP documents, including invoices, approvals, statements, etc.</li><li>Oversee the AP mailbox, ensuring that all inquiries, invoices, and other communications are addressed promptly and professionally</li><li>Respond to AP inquiries from vendors and internal stakeholders</li><li>Develop and communicate AP reports as requested by the AP and T&amp;E Supervisor or Manager</li><li>Audit employee expense reports in accordance with our global policy, utilizing the Concur expense system</li><li>Foster strong relationships with employees and communicate closely with end users to ensure the timely submission of reports</li><li>Assist employees on the use of the Concur expense system and best practices for expense reporting</li><li>Help perform periodic expense compliance audits to ensure the integrity of expense payments in alignment with local and global policies</li><li>Collaborate with other AP and T&amp;E Analysts in the event of payment errors to resolve issues and ensure expenses are paid on time</li><li>Draft training materials and resources for employees regarding expense policies and procedures</li><li>Generate periodic reports from Concur to provide KPIs and facilitate the continuous improvement of expense reimbursement processes</li></ul> Requirements: <ul><li>Bachelor’s degree in Finance, Accounting, Business Administration, or a related field.</li><li>3 years of relevant experience in accounts payable, expense auditing, or financial management.</li><li>Highly detail-oriented with the ability to work under tight deadlines in a high-volume, fast-paced team environment.</li><li>Strong analytical and communication skills.</li><li>Fast learner of technology and coachable.</li><li>Conversational English B2 Flexible.</li></ul>

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64 continuous learning Jobs found

Senior Data Engineer

Senior Quality Specialist

Manufacturing & Process Development Engineer II (Wire & Cable)

Director, Data Science

Assistant Manager, Continuous Improvement

Continuous Improvement Analyst

Account Executive - Conglomerates and PSU Eastern Region

Sr. MFG & Process DVL Engineer

Test engineer

AP Analyst

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64 continuous learning Jobs found

Senior Data Engineer

Senior Quality Specialist

Manufacturing & Process Development Engineer II (Wire & Cable)

Director, Data Science

Assistant Manager, Continuous Improvement

Continuous Improvement Analyst

Account Executive - Conglomerates and PSU Eastern Region

Sr. MFG & Process DVL Engineer

Test engineer

AP 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.