Senior Officer/Team Member (Manager) - HOSC, Channel Operations Centre

Digital Factory Engineer

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence Manager

Responsibilities:&nbsp; <ul><li>Review and approve customer withdrawal and deposit claims submitted through touchpoints and various channels&nbsp;</li><li>Access application systems, both web-based and host screens for transaction processing.&nbsp;</li><li>Exercise vigilance when performing transactions and report any unusual or suspicious transactions immediately to supervisor&nbsp;</li><li>Ensure all incoming instructions are processed within defined SLA and accurately.&nbsp;</li><li>Perform end-of-day reconciliation for all transactions processed by team.&nbsp;</li><li>Handle communications to and from internal departments.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Bachelor’s degree&nbsp;</li><li>Minimum 2 to 5 years of experience in financial institutions operations preferred.&nbsp;&nbsp;</li><li>Proficient computer skills especially MS Office applications&nbsp;</li><li>Able to communicate effectively both verbal and written&nbsp;</li></ul>

Responsibilities: <ul><li>At our client, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.&nbsp;</li><li>Drives the implementation of programs and projects to improve products and processes and develops deployment plans.&nbsp;</li><li>Digital Factory transformation project followed APAC and Internal plant.direction.&nbsp;</li><li>Daily trouble shooting in production, provide short term &amp; long term solution to team.&nbsp;</li><li>Suggest &amp; drive improvements digital solution.&nbsp;</li><li>Support project assignment.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Plant digitals, cooperate with APAC and our client service team for transformation project.&nbsp;</li><li>Digital factory transformation project implementation, Identify and resolve issue during implementation.&nbsp;</li><li>Training on new digital tools and technologies. Develop training material and provide training to ensure fully utilization.&nbsp;</li><li>Maintain and troubleshooting for exiting digital tools, AGV, Material Calling System, Hydra, dPIM etc.&nbsp;</li><li>Continuous Improvement, identify new opportunities and innovation in operation processes.&nbsp;</li><li>Data analysis and monitoring, Operations Scorecard, Operation Dashboard (SCCOP, SHE, OEE) and advise weakness areas for improvement.&nbsp;</li><li>Handle on CER related /CI working with operations and cross functional team.&nbsp;</li><li>Support operations project assignment.&nbsp;</li></ul> What your background should look like&nbsp; <ul><li>Bachelor’s Degree in Information Technology, Computer science or related field.&nbsp;</li><li>Strong knowledge and experiences in Digital transformation projects.&nbsp;</li><li>Familiarity with digital tools and technologies used in manufacturing.&nbsp;</li><li>Minimum 3 to 6 years working experience in manufacturing sector.&nbsp;</li><li>Knowledge of in cloud technology, virtualization, mobile application, IOT, SQL Server.&nbsp;</li><li>Reporting Services, Power BI, Tableau.&nbsp;</li><li>Good knowledge in Data Storage, Cloud, Microsoft Power Apps.&nbsp;</li><li>Good knowledge in Dashboard creation, Graphic and User Interface (UI) design.&nbsp;</li><li>New enhancement for new functionality in SAP and Hydra.&nbsp;</li><li>OEE, Utilization analysis skill.&nbsp;</li><li>Knowledge and experiences in Enterprise Resource Planning software – SAP/BOM/Routing will be advantage.&nbsp;</li><li>Logical thinking with Project Management Skill.&nbsp;</li><li>Fluent in English and good communication.&nbsp;</li><li>Interpersonal skills.&nbsp;</li></ul>

Responsibilities: Sales Execution: <ul><li>Execute sales plans and achieve individual volume and margin targets as assigned</li><li>Identify, prospect, and acquire new customers within assigned territory or product portfolio</li><li>Maintain and grow sales volumes from existing customer accounts through regular engagement and relationship building</li><li>Conduct customer visits, product presentations, and negotiations to close sales deals</li><li>Prepare quotations, sales proposals, and contracts in accordance with company pricing and approval guidelines</li><li>Monitor customer orders and coordinate with supply and logistics teams to ensure timely delivery</li><li>Maintain accurate and up-to-date customer records and sales data in the companys sales management system</li></ul> Customer Relationship Management: <ul><li>Build and maintain strong professional relationships with customers to ensure satisfaction and loyalty</li><li>Respond promptly to customer inquiries, concerns, and requests for information</li><li>Conduct regular follow-ups with customers to identify additional needs and opportunities</li><li>Gather customer feedback and market intelligence to share with the Sales Manager</li><li>Support debt collection activities by maintaining communication with customers on payment terms and following up on overdue accounts</li></ul> Market Intelligence and Reporting: <ul><li>Gather and report market intelligence including competitor activities, pricing trends, and customer needs Provide regular sales reports including achievements against targets, pipeline updates, and customer feedback</li><li>Participate in industry events, trade shows, and networking opportunities to promote the company and identify business opportunities</li><li>Monitor stock levels and product availability in assigned territory</li></ul> Compliance and Administrative Duties: <ul><li>Adhere to all company policies, procedures, and standard operating practices related to sales operations</li><li>Follow credit management and sales approval processes as outlined in company procedures</li><li>Ensure all sales documentation is complete, accurate, and submitted in a timely manner</li><li>Maintain compliance with legal and regulatory requirements in all sales activities</li><li>Complete required sales training and professional development programs</li></ul> Requirements: Education and Qualification: <ul><li>Bachelors Degree in Commerce, Marketing, Business Administration, or related field</li><li>At least 2 years of sales experience, preferably in the Oil Industry or related B2B sector</li><li>Computer literate with proficiency in MS Office applications and CRM systems</li><li>Valid drivers license and willingness to travel within assigned territory</li><li>Strong communication and interpersonal skills</li><li>Basic understanding of credit management and commercial terms</li><li>Self-motivated with ability to work independently and as part of a team</li></ul>

Responsibilities: Sales Execution: <ul><li>Execute sales plans and achieve individual volume and margin targets as assigned</li><li>Identify, prospect, and acquire new customers within assigned territory or product portfolio</li><li>Maintain and grow sales volumes from existing customer accounts through regular engagement and relationship building</li><li>Conduct customer visits, product presentations, and negotiations to close sales deals</li><li>Prepare quotations, sales proposals, and contracts in accordance with company pricing and approval guidelines</li><li>Monitor customer orders and coordinate with supply and logistics teams to ensure timely delivery</li><li>Maintain accurate and up-to-date customer records and sales data in the companys sales management system</li></ul> Customer Relationship Management: <ul><li>Build and maintain strong professional relationships with customers to ensure satisfaction and loyalty</li><li>Respond promptly to customer inquiries, concerns, and requests for information</li><li>Conduct regular follow-ups with customers to identify additional needs and opportunities</li><li>Gather customer feedback and market intelligence to share with the Sales Manager</li><li>Support debt collection activities by maintaining communication with customers on payment terms and following up on overdue accounts</li></ul> Market Intelligence and Reporting: <ul><li>Gather and report market intelligence including competitor activities, pricing trends, and customer needs Provide regular sales reports including achievements against targets, pipeline updates, and customer feedback</li><li>Participate in industry events, trade shows, and networking opportunities to promote the company and identify business opportunities</li><li>Monitor stock levels and product availability in assigned territory</li></ul> Compliance and Administrative Duties: <ul><li>Adhere to all company policies, procedures, and standard operating practices related to sales operations</li><li>Follow credit management and sales approval processes as outlined in company procedures</li><li>Ensure all sales documentation is complete, accurate, and submitted in a timely manner</li><li>Maintain compliance with legal and regulatory requirements in all sales activities</li><li>Complete required sales training and professional development programs</li></ul> Requirements: Education and Qualification&nbsp; <ul><li>Bachelors Degree in Commerce, Marketing, Business Administration, or related field</li><li>At least 2 years of sales experience, preferably in the Oil Industry or related B2B sector</li><li>Computer literate with proficiency in MS Office applications and CRM systems</li><li>Valid drivers license and willingness to travel within assigned territory</li><li>Strong communication and interpersonal skills</li><li>Basic understanding of credit management and commercial terms</li><li>Self-motivated with ability to work independently and as part of a team</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>

Role Description: <ul><li>Executes complex simulations in CFD and Thermal to optimize design and manufacturing.</li><li>Develops complex Multiphysics simulation methods that meets design requirements in thermal management of Electronic Systems, especially in high-speed transceivers, connectors, and their assemblies.</li></ul> Responsibilities: <ul><li>Leading the development and implementation of complex Thermal simulation models to optimize manufacturing, designs or processes.</li><li>Perform calculation &amp; simulation on temperature distribution over system.</li><li>Conducted thermo-mechanical and structural simulations to support design optimization, material selection, and validation from concept to production.</li><li>Proficient in simplifying complex CAD geometries for efficient structural and thermal simulation analyses</li><li>In-depth knowledge of mechanical design, conductive, convective, &amp; radiation heat transfer, and fluid flow mechanics.</li><li>Collaborate with designer, manufacturing, and testing teams to correlate CFD &amp; Thermal Simulation results with physical testing</li><li>Experience with DOE (Design of Experiments) and optimization techniques.</li></ul> Requirements: <ul><li>BE/ B.Tech (Mechanical)</li><li>M Tech (Mechanical) (preferred)/ PHD</li><li>Knowledge of products, design processes and methodology.</li><li>Proficiency in state-of-the-art&nbsp;</li><li>Proficiency in use of MS Office tools.</li><li>Knowledge of associated manufacturing processes (molding, stamping, plating, crimping &amp; assy).</li><li>Knowledge about the Soldering, crimping &amp; welding technologies.</li><li>Knowledge on technical paper publications &amp; applying for patents.</li><li>8- 12 years of industry experience.</li><li>Expertise in Ansys Workbench.</li><li>Experience on connector products (Plastic and Sheet Metal parts).</li><li>Knowledge on material science (Metals, Resins &amp; hyper elastic material) and implement for simulation.</li><li>Correlation of Test and simulation data / results.</li><li>Expertise on CAE tools, Optimization techniques, and testing methods.</li><li>Implementing of LEAN / 6 Sigma / Kaizen techniques to live projects.</li></ul>

Responsibilities: <ul><li>Lead the Operational Excellence strategy through sponsorship and facilitation of Kaizen events.</li><li>Coach and mentor tool owners and team members on Operational Excellence practices.</li><li>Facilitate and deliver training on Lean and Continuous Improvement tools (e.g., 5S, TPM, Value Stream Mapping).</li><li>Identify, communicate, and implement improvement and cost-saving opportunities.</li><li>Monitor and report progress on Operational Excellence initiatives and performance metrics.</li><li>Manage systems for tracking productivity and savings, collaborating with cross-functional teams.</li><li>Support manufacturing lines with Capacity Analysis and the creation, training, and governance of operational standards.</li></ul> Supervision This position directly supervises: <ul><li>Continuous Improvement Analysts.</li><li>Manufacturing Technicians (Industrial Engineering roles).</li><li>Operational Excellence Interns.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Industrial Engineering or related field (required).</li><li>Lean Certification (required).</li><li>Master’s Degree in Engineering or Business (preferred).</li><li>Minimum 5 years of experience in Operational Excellence or related roles.</li><li>Bilingual (English/Spanish) preferred.</li><li>Skills and Competencies (Desirable).</li><li>Knowledge of Change Management (certification preferred).</li><li>Proficiency in Microsoft Office 365.</li><li>Advanced skills in Excel (Pivot Tables, Macros), PowerPoint, MS Project, AutoCAD, Minitab, and simulation software.</li><li>Basic knowledge of Power BI dashboards and Power Automate (or similar tools).</li><li>Strong understanding of problem-solving techniques, Lean Six Sigma, and process improvement methodologies.</li><li>Proven experience supervising and developing engineers.</li><li>Excellent communication, teamwork, and leadership skills.</li><li>Ability to work under pressure and influence stakeholders at all levels.</li></ul>

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44 ms sql Jobs found

Senior Officer/Team Member (Manager) - HOSC, Channel Operations Centre

Digital Factory Engineer

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence Manager

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44 ms sql Jobs found

Senior Officer/Team Member (Manager) - HOSC, Channel Operations Centre

Digital Factory Engineer

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence 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.