Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Project Manager Engineer

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

Responsibilities: Safety Program Development <ul><li>Design and maintain comprehensive safety policies and procedures tailored to operations.</li><li>Conduct regular reviews and updates of safety protocols to align with evolving regulations.</li></ul> Risk Assessment &amp; Mitigation <ul><li>Perform workplace hazard assessments and risk analyses.</li><li>Develop strategies to mitigate risks and prevent workplace injuries.</li></ul> Compliance Management <ul><li>Ensure compliance with OSHA, EPA, and other relevant regulations.</li><li>Prepare documentation and reports for audits and inspections.</li></ul> Training &amp; Employee Engagement <ul><li>Conduct safety training sessions for employees, contractors, and visitors.</li><li>Promote a culture of safety awareness and responsibility across the organization.</li></ul> Incident Investigation &amp; Reporting <ul><li>Lead investigations into workplace accidents and near-misses.</li><li>Create detailed reports, identify root causes, and implement corrective actions.</li></ul> Monitoring &amp; Inspections <ul><li>Perform routine inspections of equipment, facilities, and workspaces.</li><li>Identify non-compliance issues and recommend corrective measures.</li></ul> Emergency Preparedness <ul><li>Develop and oversee emergency response plans.</li><li>Coordinate drills and ensure readiness for potential crises.</li></ul> Collaboration &amp; Communication <ul><li>Work closely with leadership, HR, and operations teams to integrate safety into all aspects of the business.</li><li>Serve as the primary point of contact for safety-related inquiries.</li><li>Assist with security-related initiatives and collaborate with relevant teams to ensure a secure work environment.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree in Occupational Health &amp; Safety, Environmental Science, Industrial Engineering, or a related field. Professional certifications like CSP (Certified Safety Professional) or OSHA certification are preferred.</li><li>Experience: Minimum 5 years of experience in a safety management role, preferably in the automotive or manufacturing industry.</li><li>Skills:</li><li>Strong knowledge of safety regulations and standards</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and leadership abilities</li><li>Technical Proficiency: Familiarity with safety management systems and software</li></ul> Work Environment <ul><li>Primarily office-based with frequent visits to production floors and facilities</li><li>Occasional travel may be required to other company locations or external sites</li></ul>

Responsibilities: Safety Program Development <ul><li>Design and maintain comprehensive safety policies and procedures tailored to operations.</li><li>Conduct regular reviews and updates of safety protocols to align with evolving regulations.</li></ul> Risk Assessment &amp; Mitigation <ul><li>Perform workplace hazard assessments and risk analyses.</li><li>Develop strategies to mitigate risks and prevent workplace injuries.</li></ul> Compliance Management <ul><li>Ensure compliance with OSHA, EPA, and other relevant regulations.</li><li>Prepare documentation and reports for audits and inspections.</li></ul> Training &amp; Employee Engagement <ul><li>Conduct safety training sessions for employees, contractors, and visitors.</li><li>Promote a culture of safety awareness and responsibility across the organization.</li></ul> Incident Investigation &amp; Reporting <ul><li>Lead investigations into workplace accidents and near-misses.</li><li>Create detailed reports, identify root causes, and implement corrective actions.</li></ul> Monitoring &amp; Inspections <ul><li>Perform routine inspections of equipment, facilities, and workspaces.</li><li>Identify non-compliance issues and recommend corrective measures.</li></ul> Emergency Preparedness <ul><li>Develop and oversee emergency response plans.</li><li>Coordinate drills and ensure readiness for potential crises.</li></ul> Collaboration &amp; Communication <ul><li>Work closely with leadership, HR, and operations teams to integrate safety into all aspects of the business.</li><li>Serve as the primary point of contact for safety-related inquiries.</li><li>Assist with security-related initiatives and collaborate with relevant teams to ensure a secure work environment.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree in Occupational Health &amp; Safety, Environmental Science, Industrial Engineering, or a related field. Professional certifications like CSP (Certified Safety Professional) or OSHA certification are preferred.</li><li>Experience: Minimum 5 years of experience in a safety management role, preferably in the automotive or manufacturing industry.</li></ul> Skills: <ul><li>Strong knowledge of safety regulations and standards</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and leadership abilities</li><li>Technical Proficiency: Familiarity with safety management systems and software</li></ul> Work Environment <ul><li>Primarily office-based with frequent visits to production floors and facilities</li><li>Occasional travel may be required to other company locations or external sites</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>

Responsibilities: Customer Service: <ul><li>Manage a team of 4-5</li><li>Advance best in class customer relations via Quality, Delivery, Innovation and Responsiveness</li><li>Develop/Lead customer engagement projects and processes focused onIncreasing customer forecast accuracy</li><li>Review demand forecasts and order priority with production planning &amp; control team; establish supply schedules for raw material based on production schedule in S&amp;OP meetings</li><li>Resource and capacity planning for work load assessment.</li><li>Developing behavior analytics which enhance proactive customer engagement focused on minimizing waste and increasing the customer experience</li></ul> Trade Supply Chain Management: <ul><li>Manage a team of 4-5</li><li>To focus on part availability, on time delivery to the customer, Quality and Cost Reduction by utilizing resources effectively</li><li>Driving supply chain and logistics excellence and ensuring the compliance of all statutory requirements in order to achieve Business goals</li><li>Provide innovative planning and logistics solutions to find and implement efficiencies with cross-functional teams&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree preferred</li><li>MBA</li><li>15 years + relevant customer experience management background required.</li><li>SAP – 10+ years’ experience</li><li>Extensive transactional working experience in manufacturing industry under CS &amp; Supply chain.</li><li>Knowledge/understanding of Customer Relationship Management/CRM systems.</li><li>Preferred experience of Aerospace and Defense.</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>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</li><li>Work closely with our partners on joint account plans aligned to your customer short and long term business objectives.</li><li>Identify, qualify, and close sales opportunities by engaging with key stakeholders and decision-makers.</li><li>Build and maintain positive relationships with customers, understanding their business challenges and technology needs.</li><li>Collaborate with internal teams, including technical specialists in Cloud &amp; AI, Collaboration, Security, Enterprise Networking and Observability to deliver customer-centric solutions.</li></ul> Requirements: <ul><li>8+ years of field sales or account management experience in the technology industry.</li><li>Consistent track record of achieving and exceeding sales targets within a customer base.</li><li>Strong ability to manage complex sales cycles and engage with senior-level stakeholders.</li><li>Experience working with channel partners and a deep understanding of the partner ecosystem.</li></ul> Preferred Qualifications <ul><li>Passion for technology and a strong understanding of networking, security, observability, collaboration, and cloud &amp; AI solutions.</li><li>Proven experience in growing revenue within accounts and competitor displacement.</li><li>Experience using CRM tools such as Salesforce for pipeline management and reporting.</li><li>Bachelor’s degree in business, technology, or a related field, or equivalent experience.</li><li>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</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>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Role Description: <ul><li>The role drives Continuous Improvement initiatives (our client transformations) to support plant strategy, enhance operational excellence, and deliver measurable improvements in efficiency, quality, and cost savings.</li><li>The analyst will mentor practitioners, facilitate Kaizen, lead value stream projects, and embed lean practices across the site.</li></ul> Responsibilities <ul><li>Drive our client deployment, critical project reviews, and KPI tracking.</li><li>Mentor and coach Kaizen facilitators and site practitioners.</li><li>Lead value stream mapping, implement lean inventory systems (Kanban, JIT, supermarkets, two-bin).</li><li>Facilitate site-wide Kaizen events and track closure of action plans.</li><li>Provide training on our client foundations, lean tools, and digital factory usage.</li><li>Report site-level performance against strategy deployment targets and star assessment levels.</li><li>Collaborate with supply chain and operations to reduce WIP, improve flow, and sustain CI culture.</li></ul> Requirements <ul><li>BE/B.Tech (Mechanical/Production/Automotive).</li><li>8–10 years of hands-on experience in the Automotive industry.</li><li>Strong knowledge and application of Lean tools &amp; methodologies.</li><li>Six Sigma Green Belt certification(Pref).</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to coach across shop floor to senior management.</li><li>Adaptability and resilience in dynamic CI environments.</li></ul>

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163 assessment tools Jobs found

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Project Manager Engineer

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

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Skills

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163 assessment tools Jobs found

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Project Manager Engineer

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Account Manager - Sales

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

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

EMPLOYER

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