Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Trade Finance Officer

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical  Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

 IIAD / SAD / LAD Artificial Intelligence Engineer

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>

Role Description: <ul><li>The Trade Finance Officer will be responsible for supporting the company’s trade finance operations to ensure timely and accurate execution of import and export transactions.</li><li>The role involves preparing and processing trade finance instruments, coordinating with banks and suppliers, and ensuring compliance with established policies and international trade regulations.</li><li>The role requires strong expertise in letters of credit (LCs), bank guarantees, documentary collections, and other trade finance instruments.</li></ul> Responsibilities Trade Finance Operations: <ul><li>Support the end-to-end processing of trade finance transactions, including Letters of Credit (LCs), guarantees, collections, and other trade products.</li><li>Prepare and review trade documentation to ensure accuracy, completeness, and compliance with UCP 600, Incoterms, and international trade regulations.</li><li>Liaise with banks, suppliers, and internal departments to facilitate the issuance, amendment, and settlement of LCs and guarantees.</li><li>Track and monitor trade finance transactions and facility utilization to ensure timely execution and effective liquidity management.</li></ul> Import Letter of Credit: <ul><li>Preparation &amp; submission of LC Application as per shared PFI, agreed trade terms, and LC draft</li><li>Carrying out Trade Finance Compliance and Due Diligence checks before issuance of LC</li><li>Liaise with banks and suppliers to process LC documentation, amendments, and confirmations as required.</li></ul> Export Letter of Credit: <ul><li>Issue Proforma Invoices (PFIs) to Oil Marketing Companies (OMCs) allocated under the PBPA bid or carrying vessel.</li><li>Share LC drafts and a list of confirming banks with OMCs to ensure the LC is workable and aligned with the applicable UCP version.</li><li>Verify the availability of confirming banks within approved limits before proceeding.</li></ul> Cash Flow &amp; Working Capital Management: <ul><li>Support the optimization of cash flow by accurately processing and tracking trade finance transactions in line with working capital objectives.</li><li>Monitor collections, supplier payments, and financing requirements related to trade operations to ensure timely execution.</li><li>Coordinate with the Treasury team to provide trade-related inputs for liquidity planning and forex management.</li></ul> Requirements: Qualifications &amp; Experience:Education Qualification <ul><li>Bachelor’s degree in Finance, Accounting, Business, or a related field.</li></ul> Professional Qualification <ul><li>Strong knowledge of trade finance instruments, UCP 600, Incoterms, and cross-border&nbsp;payments.</li><li>3–5 years of experience in trade finance, corporate banking, or treasury.</li><li>Experience in liaising with banks, financial institutions, and regulatory.</li><li>Hands-on experience with ERP systems (SAP, Oracle, or similar) and trade finance platforms.</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>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>

Responsibilities: <ul><li>As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li><li>This role offers the excitement of working with cutting-edge technology and the fulfillment of building long-lasting relationships with customers.</li><li>Provide guidance and assist account teams in building solutions to address specific customer security needs.</li><li>Understand business requirements and translate them into technical solutions.</li><li>Create, present, and document technical solutions to customers, partners, and prospects.</li><li>Lead technical consulting and upper-level management presentations.</li><li>Drive major account opportunities while enabling local account teams to maintain long-term ownership.</li></ul> Requirements: Minimum Qualifications <ul><li>Minimum of 4 years of technical sales or pre-sales experience with 2+ years in Security specialization (Email Security, IDS/IPS, AV, Firewall, Advanced Malware Protection).</li><li>Bachelors degree in Cybersecurity, Computer Science, or a related field.</li><li>Proven track record of successful quota achievement.</li><li>Strong knowledge of cybersecurity concepts, technologies, and best practices.</li><li>Industry certifications such as CISSP, CISM, or CCSP are preferred..</li></ul> Preferred Qualifications <ul><li>Excellent presentation and interpersonal skills.</li><li>Commercial awareness and strong communication skills.</li><li>Highly motivated self-starter who excels without day-to-day management.</li><li>Experience with Client security technologies and programming languages such as UNIX shell, Perl, or C.</li><li>Willingness to travel and work from a home office. As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</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>

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135 refinery field instrument technician Jobs found

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Trade Finance Officer

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

IIAD / SAD / LAD Artificial Intelligence Engineer

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135 refinery field instrument technician Jobs found

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Trade Finance Officer

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

IIAD / SAD / LAD Artificial Intelligence Engineer

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

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