Sales Manager - DRC

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

Responsibilities: Revenue and Margin Delivery: <ul><li>Achieve and exceed budgeted volumes and margins as per annual sales plan targets</li><li>Drive aggressive revenue growth through systematic customer acquisition, identifying and converting new accounts across all market segments</li><li>Expand business with existing customers by increasing wallet share, and deepening customer penetration through strategic account planning and relationship management</li><li>Develop and maintain a robust new customer portfolio through targeted prospecting, lead generation, market mapping, and conversion of qualified opportunities into active revenue-generating accounts</li><li>Implement customer retention strategies to minimize churn, protect revenue base, and ensure long-term sustainable relationships with key accounts</li><li>Protect and enhance profit margins through disciplined pricing strategies, value-based selling and resistance to margin erosion in competitive situations</li><li>Negotiate favorable commercial terms with customers that balance volume commitments with margin integrity, ensuring every deal contributes positively to bottom-line profitability</li></ul> Business Performance: <ul><li>Propose strategic market shifts to meet agreed budgets</li><li>Provide market intelligence insights through proactive engagement with contacts</li><li>Share critical information with management regarding strategy, new projects, and market opportunities</li><li>Build and maintain professional relationships with government agencies, statutory authorities, trade groups, business forums, and industry associations</li><li>Implement timely delivery of solutions according to customer needs and objectives</li><li>Conduct sales forecasting aligned with market dynamics and coordinate with Supply team for effective S&amp;OP processes</li></ul> Stakeholder Management: <ul><li>Develop and maintain strong relationships with internal and external stakeholders</li><li>Maintain close working relationships with supply and logistics teams for proper product planning</li><li>Collaborate with Head of Supply and Distribution, Operations Manager, and Business Development</li><li>Manager to translate business strategy into specific objectives and KPIs</li><li>Facilitate regular communication and reporting on sales, debtors, and collections</li></ul> Requirements: Education and Qualification&nbsp; <ul><li>Bachelors degree in Marketing, Commerce, Sales Management, or related business field</li><li>Masters degree in Business Administration (MBA), Marketing, or related field is preferred</li><li>Professional sales certifications, strategic account management training, negotiation skills certifications, or industry-specific qualifications is an added advantage</li><li>At least 6-8 years of progressive sales experience in the oil and gas industry, petroleum products distribution or related B2B industries</li><li>Demonstrated experience managing a diverse customer portfolio</li><li>Deep understanding of the Kenyan oil and gas market, including market structure, key players, competitive landscape, and regulatory environment</li><li class="ql-align-justify">Track record of successfully managing tenders, RFPs, and complex procurement processes with government entities and large corporate accounts</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><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: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</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>

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>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: EH&amp;S (Environment, Health &amp; Safety): <ul><li>Promote a culture of safety across the organization.</li><li>Ensure personnel adhere to established safety guidelines, procedures, and policies.</li><li>Implement lessons learned from security incidents at other facilities to maintain a safe environment.</li></ul> Quality: <ul><li>Promote a culture of quality throughout operations.</li><li>Ensure the operations team follows procedures in their respective areas.</li><li>Support audits from clients and regulatory entities.</li><li>Ensure compliance with Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP).</li></ul> Production: <ul><li>Foster a respectful, dynamic, and challenging work environment.</li><li>Ensure the fulfillment of internal and external operational goals.</li><li>Uphold ethical and regulatory standards in all team behavior.</li><li>Develop and maintain a 5S culture to support efficient operations.</li></ul> Requirements: Competencies &amp; Skills: Core Competencies: <ul><li>Technical Learning: Demonstrated understanding and experience in intensive manufacturing processes.</li><li>Problem Solving: Subject Matter Expert (SME) in complex problem-solving; able to guide teams through solution analysis.</li><li>Ethics and Values: Uphold company values consistently, rewarding alignment and addressing deviations.</li><li>Action Oriented: Energetic and proactive in addressing operational challenges.</li></ul> Job-Specific Knowledge, Skills, and Abilities: <ul><li>Advanced computer skills (Microsoft Word, Excel, etc.).</li><li>Assertive communication and interpersonal skills.</li><li>Strong planning, organizational, implementation, and monitoring skills to ensure Gantt chart and goal achievement.</li><li>Blueprint interpretation and reading.</li><li>Ability to work effectively under pressure.</li><li>Delegation skills while maintaining accountability for results.</li><li>Customer service orientation.</li><li>Effective time management.</li><li>Knowledge of ISO 9002 and FDA-regulated manufacturing environments.</li><li>Experience promoting continuous improvement projects.</li></ul> Experience &amp; Educational Requirements: Experience: <ul><li>Managerial experience in operations/production.</li><li>Minimum 4 years as a senior supervisor, superintendent, or equivalent role in operations/production.</li><li>Approximately 60% office work and 40% time on manufacturing lines (36 months minimum).</li></ul> Education: <ul><li>Engineering degree or equivalent.</li><li>Master’s degree is desirable.</li></ul> Professional Training &amp; Certifications: <ul><li>Six Sigma Green Belt (preferred).</li></ul>

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161 learning environment Jobs found

Sales Manager - DRC

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

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161 learning environment Jobs found

Sales Manager - DRC

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Operations Manager

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.