Digital Factory Engineer

IBM Infosphere DataStage Developer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Lead AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

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: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</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>

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>

Responsibilities: <ul><li>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS. </li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: Key Activities:&nbsp; <ul><li>Selling products by establishing contact and developing relationships with prospects.</li><li>Comprehensive understanding of customers’ market dynamics, segments and trends.</li><li>Engage with our Key Accounts at all levels.</li><li>New business lead generation.</li><li>Business prospecting and targeting.</li><li>Identification of new opportunities to deliver revenue and profitability growth.</li><li>Manage Sales process from enquiry through qualification to order completion.</li><li>Build strong and long-lasting customer relationships and understand their needs.</li><li>Management of sales pipeline through Opportunity Pipeline Tracker.</li><li>Support global commercial teams on deployment of regional, key account management strategies.</li></ul> Sales Planning and Market Development&nbsp; Key Activities:&nbsp; <ul><li>Develop and implement sales plan.</li><li>Effective customer preparation.</li><li>Delivery of market segmentation matrix.</li><li>Pitching relevant products to customers.</li><li>Support customer forecasting process with other sites.</li><li>Drive new products/solutions with innovation team from the market insights and customer needs gathered.</li><li>Attendance of Regional Sales meetings.</li></ul> Performance Management&nbsp; Key Activities:&nbsp; <ul><li>Continuous review of market performance versus the annual plan with creation of action plans to address areas of under-performance, driving new activity.</li><li>Market trend analysis and competitor activities within the region.</li><li>Pro-actively act from “Voice of the Customer” survey.</li><li>Tracking performance through Salesforce.com.</li></ul> KPI’s: Market sales and profitability versus plan and prior year. Customer feedback from VOC survey. Sales pipeline conversion rate. Sales growth&nbsp; Requirements: <ul><li>Degree (Accounting, Engineering, Business and Marketing majors strongly encouraged).</li><li>5-7 years of experiences in the relevant industries.</li><li>Experience in ERP systems (e.g. IBM Cognos), database management and advanced Excel / Access user</li><li>Strong analytical skills with attention to details.</li><li>Energetic self-starter possessing self-confidence and maturity</li><li>Excellent presentation skills.</li><li>Excellent verbal, writing and listening skills.</li><li>Strong negotiation skills to close deals under time and pressure.</li><li>Passion for sales and business growth Project management skills.</li><li>Highly self-motivated, ambitious, resourceful and driven.</li><li>Capable of working under pressure.</li><li>Strong sense of prioritization with the ability to quickly move from one task to another.</li><li>A flair for innovative business proposals.</li><li>Good understanding of business processes, including sales, supply chain and customer service.&nbsp;</li></ul>

Responsibilities: <ul><li>﻿Support and maintain Kubernetes environments.</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications. </li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions. </li><li>Automate processes and tasks to improve efficiency and scalability. </li><li>Provide technical support and assistance to the development team. </li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security. </li><li>Timely respond to incidents. </li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory requirements. </li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members.</li></ul> Requirements: <ul><li>6+ years of hands-on experience in DevSecOps or a similar role.</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of IaC approach, testing techniques and strong hands-on experience with infrastructure management tools such as Terraform.</li><li>Good understanding of Configuration Management and hands-on experience with CM tools such as Ansible.</li><li>Strong understanding of networking concepts, including the OSI model (protocols, etc.).</li><li>Expertise in system administration for both Linux and Windows environments.</li><li>Ability to comprehend the objectives of a task, propose and advocate for solutions, and successfully implement them.</li></ul>

Responsibilities: <ul><li>Contribute to Infrastructure as a Code</li><li>Support and maintain Kubernetes environments</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications.</li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions.</li><li>Automate processes and tasks to improve efficiency and scalability.</li><li>Provide technical support and assistance to the development team.</li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security.</li><li>Timely respond to incidents.</li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory&nbsp;</li><li>requirements.</li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members</li><li>Develop and maintain system documentation</li><li>Stay up-to-date with the latest trends, technologies, and best practices in DevSecOps and cybersecurity</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Security, or a related field.</li><li>6+ years of hands-on experience in DevSecOps or a similar role. (8+ years total)</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of containerization technologies and strong hands-on experience with Docker and Kubernetes.</li><li>Confident knowledge of IaC approach, testing techniques and strong handson experience with infrastructure management tools such as Terraform.</li><li>Good understanding of modern monitoring tools and practice</li></ul>

Skills

Industry

Location

Jobtitle

34 deployment Jobs found

Digital Factory Engineer

IBM Infosphere DataStage Developer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Lead AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

34 deployment Jobs found

Digital Factory Engineer

IBM Infosphere DataStage Developer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Lead AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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