Senior DevOps Engineer

Senior Quality & Reliability Engineer

Senior Data Engineer

Manager Manufacturing Engineering - Mechanical Lead, Electronics Lead

Sr Quality & Reliability Engineer

Director, Data Science

MFG & Process Development Engineer II – Molding

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Senior Manager Data Science

Manager, Data Science (GNS)

Role Description: <ul><li>Help Build the Next Generation of Cloud-Scalable AI-Based Security Products.</li><li>Have a passion for software security? Excel at implementing public cloud at scale? Desire to apply Machine Learning to solve complex problems.</li><li>This may well be the role for you. Our Communication and Collaboration Security products are cutting edge solutions that empower our client customers to Work Protected™ at tremendous scale.</li></ul> Responsibilities: <ul><li>As a DevOps Engineer within the Communication and Collaboration Security team, you’ll play an integral role in ensuring our code, tools, and deployments are consistent, high quality, and continually optimized.</li></ul> Your responsibilities will include: <ul><li>Implement Jenkins pipelines with modern CI/CD workflows.</li><li>Create properly tuned alerts and dashboards to effectively monitor infrastructure and service health in production.</li><li>Champion and leverage Infrastructure as Code technologies as a way of life.</li><li>Contribute strongly to cloud migration efforts, bringing more and more capabilities into our standard AWS infrastructure</li><li>Write scripts and automated tests to ensure the resilience and quality of our client solutions.</li><li>Innovate and champion improvements in QE and CI/CD processes and tools.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering and/or DevOps.</li><li>Understanding of CI/CD principles, automation technologies, and associated tools and how to optimize them for public cloud.</li><li>Hands-on experience deploying, scaling, monitoring, and maintaining services in AWS.</li><li>Solid scripting/automation experience, with command of two or more scripting languages used for DevOps and/or Test Automation.</li><li>Excellent interpersonal, communication and collaboration skills that enable you to work effectively across teams.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

Responsibilities: Policies And Procedures, Quality System: <ul><li>Implement quality policies, procedures and systems; maintain/update quality engineering work instruction in order to ensure the business procedures in line with QS and global standards.</li><li>Involve in customer audit, implement responsible procedures and facilitate other departments to close their actions on time and fulfill requirement to our products and process in order to meet customer requirement and our quality system.</li></ul> Incoming Materials Quality Issue Handling: <ul><li>Analyze and identify material issues found in production line, drive SQE for supplier improvement in order to maintain incoming material quality.</li></ul> Process Quality Issues Handling: <ul><li>Handle quality issues occurred in process in order to improve and maintain product quality performance, perform risk assessment to take proper disposition, develop improvement action to prevent the occurrence.</li><li>Drive improvement for non-conformance detected by QC.</li><li>Lead team to develop error-proof and mistake proof solution for quality risk identified. In order to achieve good quality performance of product.</li></ul> Customer Complaints/Feedback Handling: <ul><li>Handle customers complaints including develop and implement customer complaints corrective and preventive action plan in order to maintain the&nbsp;</li><li>relationship with customers and provide extraordinary customer experience to customer.</li></ul> Quality documents and criteria setting: <ul><li>Develop quality engineering documents (QIP,WI,VA), set up and develop quality inspection criteria, prepare COC format in order to maintain product quality performance.</li></ul> Quality Improvement <ul><li>Develop and track assigned process quality improvement plan according to product quality performance and implement situation in order to improve and maintain product quality performance. Using the DMAIC method to drive the improvement.</li><li>Work with team to qualify the process change/new line qualification/new machine, foresee quality risk and advise robust tooling/process design, identify the risk/gap and drive proper improvement action, follow up until action closed in order to improve and maintain product quality performance.</li></ul> Scrap control and improvement: <ul><li>Review and approve WIP scrap application</li><li>Monitor WIP scrap and take proper countermeasures</li><li>Follow up top failures in process, identify root cause and major contributor, drive team to take solid improvement action to improve</li><li>Validate the improvement action and follow up the result in order to maintain product quality performance.</li></ul> Requirements: <ul><li>At least Bachelor’s Degree in Engineering or a related technical field.</li><li>Minimum 3 years of quality-related experience in the electronics industry; at least 2 years of experience in Surface Mount Technology (SMT) is preferred. Green Belt or Black Belt certification is preferred.</li><li>Must be capable of leading teams in Design of Experiments (DOE), Gage Repeatability and Reproducibility (GR&amp;R), and data analysis.</li><li>Strong knowledge of cable assembly manufacturing processes, including terminal and IDC crimping, soldering, electrical testing, and signal integrity.</li><li>Familiarity with electrical industry standards such as IPC/WHMA-A-620 and IPC-A-610</li></ul>

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>

Role Description: <ul><li>Transportation solutions BU makes products for Connecting and Sensing Data, Power and Signal for vehicles ranging from Two wheelers to Heavy Commercial trucks.</li><li>TS India operates out of 2 Manufacturing plants in Pune, Sales offices in Pune, Noida and Chennai and a Global engineering team in Bangalore.</li><li>The total team strength is of 3,500 employees. There is a clear business strategy till 2025 to support the business growth.</li><li>The growth is driven mainly driven from localization of Core India Specific products and also New technology products.</li></ul> Responsibilities <ul><li>Responsible to lead and drive a team of engineers for design development and improvement of Special Purpose machinery, to the plant and execution of all new projects as per agreed APQP timelines.</li><li>End to end responsible for capturing the voice of Customers and all stakeholder requirements of the product and then assess review and correct machine design to meet the expectations.</li><li>Conducting design reviews effectively resulting reliable equipment and less rejections.</li><li>Train and Coach the team to build the M.E capability and competency.</li><li>Improve the process to reduce CoPQ and improve OEE, by quality, up-time and productivity.</li><li>Identify Automation and Cost Saving opportunities and able to deliver result.</li></ul> Requirements: <ul><li>14+ years of experience working in medium or large matrix organizations.&nbsp;</li><li>Hands on Experience in in high speed &amp; high Precision SPM designing , building and trouble shooting.</li><li>Experience in header assembly machines, fast and high precision Automation machines for Automotive industry is preferable.</li><li>Mechanical and Pneumatic systems trouble shooting and design skills.</li><li>Experience in EOL testing, like leakage, Electrical tests, AOI(Camera Vision inspection).</li><li>Updated knowledge on statistical process control systems.</li></ul>

Responsibilities: olicies And Procedures, Quality System: <ul><li>Implement quality policies, procedures and systems; maintain/update quality engineering work instruction in order to ensure the business procedures in line with QS and global standards.</li><li>Involve in customer audit, implement responsible procedures and facilitate other departments to close their actions on time and fulfil requirement to our products and process in order to meet customer requirement and our quality system"</li></ul> Incoming Materials Quality Issue Handling: <ul><li>Analyze and identify material issues found in production line, drive SQE for supplier improvement in order to maintain incoming material quality."&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul> Process Quality Issues Handling: <ul><li>Handle quality issues occurred in process in order to improve and maintain product quality performance, perform risk assessment to take proper disposition, develop improvement action to prevent the occurrence.</li><li>Drive improvement for nonconformance detected by QC.</li><li>Lead team to develop error-proof and mistake proof solution for quality risk identified. In order to achieve good quality performance of product.</li></ul> Customer Complaints/Feedback Handling: <ul><li>Handle customers complaints including develop and implement customer complaints corrective and preventive action plan in order to maintain the relationship with customers and provide extraordinary customer experience to customer.</li></ul> Quality documents and criteria setting: <ul><li>Develop quality engineering documents (QIP,WI,VA), set up and develop quality inspection criteria, prepare COC format in order to maintain product quality performance.</li></ul> Quality Improvement: <ul><li>Develop and track assigned process quality improvement plan according to product quality performance and implement situation in order to improve and maintain product quality performance. Using the DMAIC method to drive the improvement.</li><li>Work with team to qualify the process change/new line qualification/new machine, foresee quality risk and advise robust tooling/process design, identify the risk/gap and drive proper improvement action, follow up until action closed in order to improve and maintain product quality performance.</li></ul> Scrap control and improvement: <ul><li>Review and approve WIP scrap application</li><li>Monitor WIP scrap and take proper countermeasures</li><li>Follow up top failures in process, identify root cause and major contributor, drive team to take solid improvement action to improve</li><li>Validate the improvement action and follow up the result</li><li>in order to maintain product quality performance&nbsp;</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>College diploma major in engineering</li><li>3 years electronics industry quality related working experience, 1 year SMT experience is preferred.</li><li>Green belt/Black belt certification is preferred, can lead the team to do the DOE/GR&amp;R and data analysis ability.</li><li>Familiar with manufacturing process of cable assembly, such as terminal and IDC crimping, soldering, electrical testing, signal integrity etc.</li><li>Familiar with electrical industry specification such as IPC620, IPC610 etc.&nbsp;&nbsp;</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>Overall molding process development, coordinating with interaction processes (Stamping, Plating, Assembly) to ensure the best process and cost for F/Gs</li><li>Concept design &amp; proofing for Molding process and tooling, Process development DOE.</li><li>Technical leader and trouble shooter from LVM to HVM in process development, tooling design &amp; qualification, issue finding and problem solving</li><li>Platforming manufacturing process development.</li><li>Challenge product design for manufacturability and cost feasibility.</li><li>Launch product at rate through FACA/QCPA tools (yield, CPK, OEE…)</li><li>Launch product on time with cross function team.</li><li>Process documentation (DFM，FMEAs, WI, FACA/QCPC…)</li></ul> Requirements:﻿ <ul><li>Bachelor or above degree in mechanical engineering or related background.</li><li>5+ years Mold design, Process and Troubleshooting knowledge / experience.</li><li>Strong knowledge of tool fabrication, tool-steel application/selection, heat treating, and plating/coating.&nbsp;</li><li>Strong knowledge of injection molding processes (Injection, Insert-molding, two-shot, etc.).</li><li>Strong understanding of plastic, injection machine, auxiliary equipment (strip feed, camera, etc).</li><li>Good at Mold flow simulation and analysis.</li><li>Familiar with BTI 5-Step process, and Knowledge of SIM (Scientific Injection Molding).</li><li>Understand tolerance calculations and Geometric Dimensioning and Tolerancing.</li><li>Data oriented issue finding and problem-solving skills.</li><li>Rich shopfloor hand on experience.</li><li>Sensitive on product cost, know how to drive cost through manufacturing process development &amp; design optimization.</li><li>Fluent in using of basic process development related tools like DFM, PFMEA，DOE，FAA, CTAR，CAD，Pro E</li><li>Knowledge of quality control and quality issue analysis and improvement</li><li>Good teamwork and communication skills。</li><li>Fluent in written and Spoken English.</li><li>Oversea working experience is a plus</li></ul>

Role Description: <ul><li>The Electronic and Sensor Integration Team Manager will report to the product development team for cold applied products, part of Energy Business unit.</li><li>S/he will lead &amp; be responsible for managing a team working on new product development (NPD), value analysis and value engineering (VA/VE) and sustaining projects as well as perform management duties.</li><li>This role will require strong leadership skills and demonstrated product development experience in a global technology company to drive success for the Energy BU by leading his/her team to develop best-in-class engineering solutions for our customers.</li></ul> Responsibilities: <ul><li>Manage and drive the Electronic and Sensor Integration Team.</li><li>Demonstrate technical leadership. Provide technical solutions and break through ideas.</li><li>Guide the development of complex electronic systems, including analog and digital circuits.</li><li>Oversee the implementation of emerging technologies such as IoT, AI, and machine learning in electronic products.</li><li>Ensure adherence to industry standards (e.g., IEEE, IPC) and regulatory requirements (e.g., FCC, CE).</li><li>Perform resource planning and prioritization for required activities.</li><li>Accountable for delivering NPD projects on-time and on-budget.</li><li>Collaborate with product managers, mechanical teams, software developers, and system architects to integrate electronics into end products.</li></ul> Requirements: <ul><li>Graduate or postgraduate (BE or M.Tech) in Electronics engineering or related engineering discipline.</li><li>12+ years of engineering experience and with more than 5 years of experience in supervising and leading engineering team.</li><li>Experience in developing and industrializing electronic and sensor products, preferably associated with Energy market.</li><li>Excellent in people and resource management.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.</li><li>Lead the development of AI and machine learning models to solve business problems.</li><li>Research, build, and deploy models based on shallow and deep machine learning.</li><li>Train robust NLP-based models on large datasets.</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.</li><li>Design APIs for disseminating data science outputs.</li><li>Oversee the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions.</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high-bar for model development.</li></ul> Requirements: <ul><li>Have substantial experience in a senior data scientist role.</li><li>Have experience in leading complex projects and customer relationships.</li><li>Have significant experience in managing larger Technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li></ul> Highly Desired Skills and Experience: <ul><li>PhD or Masters degree in Computer Science, Mathematics, Statistics, or a related field.</li><li>7-10+ years of experience in AI and machine learning.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

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17 machine learnig Jobs found

Senior DevOps Engineer

Senior Quality & Reliability Engineer

Senior Data Engineer

Manager Manufacturing Engineering - Mechanical Lead, Electronics Lead

Sr Quality & Reliability Engineer

Director, Data Science

MFG & Process Development Engineer II – Molding

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Senior Manager Data Science

Manager, Data Science (GNS)

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17 machine learnig Jobs found

Senior DevOps Engineer

Senior Quality & Reliability Engineer

Senior Data Engineer

Manager Manufacturing Engineering - Mechanical Lead, Electronics Lead

Sr Quality & Reliability Engineer

Director, Data Science

MFG & Process Development Engineer II – Molding

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Senior Manager Data Science

Manager, Data Science (GNS)

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

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