Staff Software Engineer(Enterprise)

Staff Software Engineer (Auth0)

Staff Quality & Reliability Engineer

Supplier Quality Engineer

Project Manager Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical  Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Responsibilities: <ul><li>Be part of a diverse and collaborative team consisting of engineers, a product manager and a designer.</li><li>Provide technical direction to the team, detecting technical improvement opportunities and taking action to design and implement them.</li><li>Mentor or coach other engineers to support their growth and bring them along</li><li>Design and develop features, APIs, and fixes to handle our current and future scale.</li><li>Help our customers have a great experience products.</li><li>Be a strong independent contributor.</li><li>Participate in and help improve the team’s agile process.</li><li>Engage with the support team as the last level of escalation for tickets.</li></ul> Requirements: <ul><li>Must have 7+ years of expertise in software development.</li><li>Must have 7+ years of experience with Node.JS/Javascript/Typescript ecosystem</li><li>5+ years of experience in Postgres and Redis.</li><li>Excellent communication and collaboration skills&nbsp;&nbsp;</li><li>Expertise in designing, building and maintaining public or internal APIs with focus on security and performance.</li><li>Solid understanding of the Node.JS/Javascript/Typescript ecosystem</li><li>A bias for well tested code and relevant unit/integration/end to end/performance testing experience</li><li>The drive for designing and building highly reliable, scalable, and secure systems</li><li>A mindset for sharing knowledge and supporting the growth of others around you</li><li>Strong context switching capabilities to be able to contribute to several projects at once, within and beyond the team subdomain</li><li>An owner mentality- you hold yourself accountable and have a relentless commitment to loving your customers</li></ul>

Responsibilities: <ul><li>Build secure, performant, cross-platform applications for both customers and internal company teams.</li><li>Collaborate across teams to solve technical and non-technical challenges.</li><li>Work closely with Product and Design to determine and optimize user experience and information architecture.</li><li>Build new features and maintain existing features by contributing across the full technical stack.</li><li>Debug and resolve production issues and implement fixes for them.</li><li>Be a part of the teams on-call rotations.</li><li>Evaluate new technologies and techniques to improve overall practices.</li></ul> Requirements: <ul><li>Must have 7+ years of expertise in full-stack development.</li><li>Have a passion for learning.</li><li>Have excellent communication and collaboration skills.</li><li>Are customer-obsessed and love helping people.</li><li>Have a good understanding of Javascript and TypeScript.</li></ul>

Responsibilities: <ul><li>Support bulk cable team by tracking quality, compiling reports, assist with DOEs and product qualification</li><li>Organize and facilitate Design Review (DR) and Design Failure Modes &amp; Effects Analysis (DFMEA) reviews.</li><li>Implement quality planning and controls for prototype and/or sample builds.</li><li>Complete measurement system analysis for inspection systems and gages to be utilized for the project.</li><li>Review and analyze samples, quality issues and improvement actions during prototype making and CTAR/Qualification.</li><li>Coordinate sample preparation and certification for product verification and qualification testing.</li><li>Conduct and analyze process capability studies in support of Final Tool Approval (FTAR) for all tools and production lines associated with the project using the Comprehensive Tool Approval Report (CTAR).</li><li>Collaborate with MPDE, monitor process capability/data and oversee ongoing corrective actions as required.</li><li>Collaborate with corporate UL team / UL engineer/PJE/PQE for new certification. -Collaborate with PDE, analyze physical/SI data and make qualification report.</li><li>Collaborate with PDE, CA PDE/SI/MPDE, support SQE on outsourced cable quality control and improvement from bulk cable engineering side.</li><li>Preparation for prototype/sample making: -Organize and facilitate Design Review (DR) and Design Failure Modes &amp; Effects Analysis (DFMEA) reviews.</li><li>Complete measurement system analysis for inspection systems and gages to be utilized for the project.</li><li>Data Analysis:Monitor process physical/SI data.</li><li>Review and analyze samples, quality issues and improvement actions during prototype making and CTAR/Qualification.</li><li>Review 108 and finish 501 documents per customer requirement and industrial standards.</li><li>Coordinator during prototype/sample making: -Monitor process capability and oversee ongoing corrective actions as required.</li><li>Support MPDE on FACA.</li><li>Support PDE on design improvement.</li><li>Coordinator during outsourced cable qualification process:Review outsourced cable Physical data, SI data, Reliability data, stability data, give comments from bulk cable engineering side on supplier quality and product quality.</li></ul> Requirements:﻿ <ul><li>Bachelors or Masters Degree in science or technology.</li><li>10 years min. working experience in bulk cable design or manufacturing.</li><li>3 years team management experience.</li><li>Familiar with bulk cable knowledge, bulk cable manufacturing knowledge and machines knowledge.</li><li>Can work under the pressure.</li><li>Drive for results, good problem solving skills</li><li>Good communication skill, integrity, accountability and passion, Integrity, ccountability, team work</li><li>Good communication, interpersonal and management skills</li></ul>

Responsibilities: <ul><li>Act as a single-point-of-contact for topics and issues related to supplier quality within the Heredia, Costa Rica facility.</li><li>Lead supplier-related activities to ensure incoming quality is proactively planned, prepared, and ensured in advance before production part is approved and released.</li><li>Continually improve supplier performance through coaching, training, consequence enforcement, supplier awards and motivation, supplier restriction and disqualification, etc.</li><li>Measure and communicate supplier performance to those suppliers and the organization.</li><li>Evaluate, qualify, approve appropriate new, competitive suppliers (including search for new suppliers), in collaboration with the procurement teams.</li><li>Review and approve/reject/amend supplier Production Part Approval Process (PPAP) submissions for new product releases and qualifying changes to existing components.</li><li>Monitor quality data within the operating systems to ensure data accuracy and develop reporting systems to accurately document and record supplier trends and performance.</li><li>Periodically monitor quality specifications to ensure supplier compliance.</li><li>Work with engineering to clarify and change specifications regarding incoming goods when necessary.</li><li>Clearly communicate (and enforce) company requirements and expectations to suppliers.</li><li>Solicit, drive, monitor, review, approve, and validate containment/corrective/preventive actions by suppliers.</li><li>Facilitate supplier quality roadmaps leading to improved supplier performance.</li><li>Conduct process and system audits of suppliers and maintain working knowledge of ISO and TS quality system requirements.</li><li>Serve as Supplier Quality Lead / SME during internal audits and 3rd party inspections/audits (FDA, BSI).</li><li>Chair QBRs (Quarterly Business Reviews) with key suppliers.</li><li>Validate manufacturing and supplier processes, including activities associated with equipment installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ).</li><li>Interact with cross-functional teams to resolve supplier-related quality issues.</li></ul> Requirements: Qualifications &amp; Background: <ul><li>Bachelor’s degree in Process Engineering, Manufacturing Engineering, or other engineering discipline plus 5+ years’ experience in a manufacturing environment.</li><li>Working knowledge and understanding of the Food and Drug Administration (FDA) 21 CFR 820 and International Organization for Standardization (ISO) – ISO 13485 and ISO 14971.</li><li>Bilingual (English / Spanish).</li><li>Experience in a Supplier Management role.</li><li>Experience conducting quality audits in a manufacturing environment.</li><li>Lean Six Sigma Green Belt Certification.</li><li>Proficiency in Microsoft Office.</li><li>Strong problem-solving and analytical skills for compiling and analyzing data.</li><li>Knowledge of DOE, SPC, Gage R&amp;R, and sampling plans.</li><li>Effective time management skills, applied to fast-moving and high-pressure environments.</li><li>Ability to work independently with little or no supervision, as well as in teams.</li><li>Willingness to travel (approximately 10%) to visit suppliers.</li></ul>

Responsibilities: Project Timeline: <ul><li>Identify and align projects goals and scope with PJM and PM, and breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage core team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost though leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: <ul><li>Guide capacity planning, materials sourcing and manpower to support all builds in the plant.</li><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make multination plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of product, tool capability and demand with the approval of the PjM, Quality, MDPE, and PjE. a. Lead Safe Launch team meetings to ensure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful G5 handoff.</li><li>Align the budget with the Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is better</li><li>PMP certification preferred</li><li>At least 5 years related working experience in project management, 1~2 years’ experience in connector/cable/cable assembly is better</li><li>Fluent oral and written/reading in English</li><li>Experience in IT Project Manager, Data Center Business or digital networking project is an advantage.</li></ul>

Role Description:&nbsp;<ul><li>Design &amp; Development of automotive connector system.</li></ul> Responsibilities: <ul><li>Responsible for mechanical design of Connectors based on customer requirement for TS.</li><li>Responsible to carry out detailed mechanical design work including 3D modelling, Proposal /detail drawings for costing / production, initiating simulation and prepare design verification / product validation plan per requirement.</li><li>Responsible for choosing standard parts, features, material as per internal guidelines which would meet the internal / customer target process and cost.</li><li>Responsible for preparing and presenting design reviews per manufacturability, update design per suggestion and keep record.</li><li>Responsible for carrying out design change requests in a timely manner / own the product responsibility&nbsp;</li></ul> Requirements: <ul><li>B.E/B. Tech in Mechanical Engineering (equivalent) / Diploma with Post graduation&nbsp;</li><li>Knowledge about various phases of product realization / product development.</li><li>Knowledge of state-of-the-art design tools such as Creo / CAD tools,</li><li>Basic knowledge in manufacturing process (Machining, Molding, Stamping, Plating, etc.,)</li><li>Following are added advantage - Geometric Dimension &amp; Tolerancing (GD&amp;T), GPS, Electrical &amp; Electronic Components design and Development.</li><li>1-4 years of experience in Concept Design and Development of products preferably in plastic and stamped parts.</li><li>Good knowledge in Creo software / CAD tools, PDM windchill / Similar,</li><li>Basic knowledge about Tolerance stack-up and GD&amp;T / GPS</li><li>Basic knowledge on Plastics &amp; Sheet Metal components will be added advantage.</li><li>Good Conceptual, problem solving and Analytical Skills.</li><li>Ability to communicate effectively and accurately across multi-cultural groups.</li><li>Excellent Communication and Presentation skills.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Role Description: <ul><li>We change the World; you will become passionate about your employer and the brand you represent. Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>Our employees groundbreaking ideas impact everything.</li><li>Here, that means we take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities.</li><li>Come prepared to be encouraged and inspired.</li><li>The India Strategic Enterprise Segment is a truly vibrant sales organization that covers the diverse set of accounts in the Enterprise Space.</li><li>This position will be based out of Mumbai and will focus on a specific set of Enterprise accounts.</li><li>As part of the Enterprise System Engineering Team, you will be designing, architecting and empowering the strategy for the next generation of communications and application delivery for India’s leading businesses.</li><li>Youll collaborate as part of a disruptive Sales engineering team. We offer exhilarating, inspiring, global, high impact, and uniquely broad opportunities for your growth.</li></ul> Responsibilities <ul><li>Technical sales professional serving as a Technology/Product/Solution consultant.</li><li>Technical orchestrator for an array of resources, primary responsibility for ensuring successful completion of each pitstop from a technical perspective in the lifecycle selling motion.</li><li>Provides technical information and design/implementation mentorship in concert with Architecture Seller team(s).</li><li>Collaborates with the Account Manager on the customer account plan(s), jointly ensuring customer success.</li><li>Work with internal teams to orchestrate right solutions against customer requirements with competitive positioning</li><li>Educate customer on differentiation and establish technical leadership of our client as a brand.</li><li>Field role that serves as a Technology expert across solutions preferably within a multi-domain architecture approach.</li><li>Build relationship with Engineering Teams, field teams, architecture team, Business Units (BUs), Partners and customers.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent.</li><li>Excellent written, verbal communication, listening skills.</li><li>Min 10-12 years of presales experience in technical position .</li><li>Has prior experience in solution selling around products and technology.</li><li>Highly motivated, willing to learn and demonstrate high level of adaptability towards technology shift.</li><li>Understand the broader aspects of end to end architecture and have knowledge on one or more technology areas like Enterprise networks, Data center or Security.</li><li>Optimally handle objections in a customer conversation and lead with value selling.</li><li>Technical knowledge in the Networking Solutions/SDN Architecture/Network Security /Datacenter Networking technologies.</li><li>Strong whiteboarding/presentation skills.</li><li>Strong communication skills.</li></ul>

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

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

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130 loss prevention engineer relocation to saudi arabia Jobs found

Staff Software Engineer(Enterprise)

Staff Software Engineer (Auth0)

Staff Quality & Reliability Engineer

Supplier Quality Engineer

Project Manager Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

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130 loss prevention engineer relocation to saudi arabia Jobs found

Staff Software Engineer(Enterprise)

Staff Software Engineer (Auth0)

Staff Quality & Reliability Engineer

Supplier Quality Engineer

Project Manager Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

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

EMPLOYER

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