Team Manager

ASEAN Seating Sales Head

Solution Engineer - AI Infrastructure

Service Delivery Manager

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Responsibilities: <ul><li>Executive business strategy set by the store manager to deliver business results and targets on clienteling and performance KPIs.</li><li>He/she is the role model and mentor for the team in how to boost and improve:</li><li>The delivery of a couture service, strategic zoning encouraging sales in partnership and OTO appointment routine.</li><li>A colleague centric mindset and a fluid client journey across categories.</li><li>Conversion rate, cross selling, AVT, upselling</li><li>Ensure the inclusion of digital tools and assets in the client journey and in the clientelling routine.</li><li>Ensure suitable product knowledge engaging all team members in training through morning briefs and products brief planning.</li><li>Has a key role in coaching team members to develop their skills in selling techniques and Clienteling, and support store manager in identifying appropriate career paths for every individual.</li><li>Perform effective and motivating Monthly touch bases.</li><li>Capable of being an agent of change with and impeccable colleague team player approach.</li></ul> Requirements: <ul><li>Has effective management and coaching skills, is able to follow up on results, identify, opportunities, motivate people to go beyond their comfort zone and go the extra-mile.</li><li>Communicate transparently and effectively.</li><li>Very good understanding of performance KPIs and ability to implement action plan to improve them.</li><li>Has excellent product and story telling knowledge.</li></ul>

Responsibilities:&nbsp; <ul><li>Support sales VP to manage in charged ASEAN counties commercial + advance sales activities&nbsp;</li><li>Provides counsel, advice and recommendations on the competitive market trends, conditions and opportunities to assure proper consideration in the formulation of sales plans, customer strategies and guide related products strategy&nbsp;</li><li>Develops and manages specialized programs to acquire new business and improve existing business with profitable margin&nbsp;</li><li>Lead quotation activities and coordinate related department to deliver overall proposal on time and Lead price negotiation with customer until make final deal&nbsp;</li><li>Responsible for continuing margin improvement activities and manage normal ECN/VEVA etc change controls and LTA negotiation&nbsp;</li><li>Negotiates or assists in the negotiation of customer contracts&nbsp;</li><li>Maintains good relationships with OE customers, especially for key target customers and decision makers for collecting their needs and solve problems to exceed customers’ expectations&nbsp;</li><li>Keep alignments with related global/Asia sales group leaders&nbsp;</li><li>Support function head to complete long range plan and budget build up&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Fluent in English&nbsp;</li><li>Bachelor Degree in Arts (Engineer, Business, Finance, Economics)&nbsp;</li><li>Minimum of five (5) years working experience at Tier 1 or Tier 2&nbsp;</li><li>Minimum of Seven (10) years commercial Sales Experience&nbsp;</li><li>Reviewing cost and finance analysis model and build up quotation&nbsp;</li><li>Good communication and presentation skill&nbsp;</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: Manage Relationship with business on Run service: <ul><li>In charge of Run activities for applications or services and conduct business review with business representatives</li><li>Manage escalation from business teams and ensure business continuity and follow till closure</li><li>Manage dependencies and trigger hierarchical escalation protocol as needed ("pending by user, awaiting vendor status" tickets etc.)</li><li>Own critical outbound communications from IT with business</li><li>Conduct or collaborate with BRM for demand management for minor evolutions in alignment with build teams</li><li>Track and ensure business satisfaction and take necessary action to improve CSAT progressively</li><li>Contribute to larger community of SDM and ITSM Process Owner.</li><li>Onboard other scope into service as the organization is moving to Platform organization.</li></ul> Monitor and control service delivery: <ul><li>Take ownership of major incidents, ensuring coordination of resolving parties, effective communication to stakeholders and post incident review</li><li>Review ticket backlog (especially aging tickets) on regular basis and prioritize as per SLA commitments when applicable</li><li>Track, analyze and report metrics (SLA and KPI) and take corrective actions as needed for service excellence</li><li>Work with Application management service partner to generate actionable insights to improve system availability and performance</li><li>Ensure Knowledge Mgmt. and build to run practices are followed and regularly conduct audits</li><li>Recommend, monitor, and ensure continuous improvement activities are delivered by AMS teams</li><li>Increase the ITIL compliance for all services delivered by teams (incident, problem, change.)</li><li>Review global process KPIs using power BI dashboard for process excellence and draft process improvement suggestions</li><li>Lead change management including process governance, CAB &amp; quality control.</li></ul> Requirements: <ul><li>High level of business orientation</li><li>Proactive and process mindset</li><li>Solid IT process knowledge with very good ITIL understanding</li><li>Practical knowledge and experience on IT process development and service roll outs</li><li>Strong experience in supplier collaboration with offshoring model (located in India)</li><li>Demonstrated ability to communicate effectively with different stakeholders (both written and oral).</li><li>Ability to operate in a large and complex organization which is transformation to become more professional.</li><li>Strong Change Management skills</li><li>Excellent problem solving &amp; team collaboration skills</li><li>Experience on SAP function modules (FICO, SD, MM, WM)</li><li>Proven 6+ years working experience as an IT service delivery manager or coordinator</li><li>Knowledge of IT Service Management ITIL EXPERT certification will be appreciated)</li><li>Proven track record in IT/IS Project Management (PMI, Prince 2 certification will be appreciated) including coordination of various teams and service providers</li><li>Experience on SAP (SRM, ABAP, GRC)</li><li>Proficiency in using ServiceNow, PowerBI</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>

Responsibilities: <ul><li>Support the Portfolio Manager for category &amp; brand planning, grounded in consumer and customer insights.</li><li>Support the deployment of Brand Marketing Campaigns (ATL/BTL or Through-the-line Campaign Management) for key markets with full ownership &amp; leadership from campaign planning to post launch evaluation, working closely with external marketing agencies &amp; partners.&nbsp;</li><li>Support and manage innovation projects (relaunch/ NPD) including size of opportunity projection, understanding P&amp;L and compliance checking, leading &amp; working closely with innovation project team for assigned category.&nbsp;</li><li>Develop the Selling Story for new product &amp; campaign based on consumer &amp; market insight, working closely with commercial sales &amp; consumer insight team</li><li>Conduct customer research including product testing and consumer insight session for new products/ relaunch with distributor team and focus consumer groups&nbsp;</li><li>Actively recommend solutions and implement improvements for day-to-day operations with functional stakeholders internally &amp; externally&nbsp;</li><li>Plan &amp; Monitor marketing budget for key activities&nbsp;</li></ul> Requirements: <ul><li>Education Background: Preferably from marketing/ business management background&nbsp;</li><li>Education Level: Bachelor’s Degree minimum, master’s degree would be a plus</li><li>Working Experience:</li><li>3-5 or more years of experience in brand/product management/marketing (FMCG) or experience in categories related to food products, meals or infant will be a plus.</li></ul>

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53 model deployment Jobs found

Team Manager

ASEAN Seating Sales Head

ASEAN Seating Sales Head

Solution Engineer - AI Infrastructure

Service Delivery Manager

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

Assistant Regional Brand Manager

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53 model deployment Jobs found

Team Manager

ASEAN Seating Sales Head

ASEAN Seating Sales Head

Solution Engineer - AI Infrastructure

Service Delivery Manager

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Continuous Improvement Analyst III

Assistant Regional Brand Manager

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

EMPLOYER

TALENT

COMPANY

Contact Us

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