Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Senior Data Scientist 2

Procurement Operations Manager

Salesforce Developer

Equipment Engr - Automation and PLC

Role Description: SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs. Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li></ul> Requirements: <ul><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>Experience with one or more of the following technologies:</li><li>React/Typescript/UI’s.</li><li>Java Spring Boot/ Python / API’s.</li><li>PostgreSQL.</li><li>CI/CD pipelines.</li><li>AWS Cloud Services.</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Responsibilities: <ul><li>Lead the design and development of LLM-powered solutions for clinical summarization, intelligent chat, and document understanding to improve patient care outcomes.</li><li>Architect and implement end-to-end machine learning pipelines, including Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone and Weaviate.</li><li>Fine-tune and optimize state-of-the-art language models (e.g., GPT, LLaMA, Mistral) and apply advanced prompt engineering to address specialty-specific healthcare use cases.</li><li>Own project delivery end to end, collaborating with stakeholders to ensure AI solutions are ethical, scalable, reliable, and well-governed.</li><li>Mentor and support junior data scientists, fostering a culture of experimentation, learning, and innovation.</li></ul> Requirements: <ul><li>Experience: 8–12 years in Data Science/ML, with at least 3+ years specifically focused on LLMs and Generative AI.&nbsp;</li><li>Technical Mastery: Deep hands-on expertise in Python and frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex.&nbsp;</li><li>Cloud Fluency: Proven ability to deploy models at scale using AWS SageMaker, Azure ML, or GCP Vertex AI.&nbsp;</li><li>MLOps Mindset: Experience with MLflow, Airflow, Docker, and Kubernetes to ensure our "bold innovations" are also stable and reliable.&nbsp;</li><li>Academic Foundation: A strong grasp of statistical analysis and evaluation techniques to mitigate hallucinations and ensure clinical accuracy.&nbsp;</li></ul>

Responsibilities: Primary Function : <ul><li>Lead the procurement function for Pringles plant at Bandar Enstek, Malaysia. Act as focal point between regional procurement and local plant team</li><li>Manage all local procurement activities, including ad hoc sourcing, negotiations and contracting for items not in scope for regional category manager, issue resolution, local supplier management, shipment expediting, materials claim management and etc.</li><li>Support the sourcing strategy of the regional and global procurement sourcing team.</li><li>Connect plant stakeholders with MSP (managed service provider) for IDM STP support (Source-to-PO)</li><li>Advocate the global procurement policies (GPP) and responsible to educate the BU requesters on the GPP policy and compliances</li><li>Work with BU stakeholders, Category Managers, Process and Systems Lead, Procurement Operations Lead to identify efficiency and cost reduction opportunities</li><li>Manage supplier relationship and performance</li></ul> Principal Duties &amp;&nbsp;Responsibilities : <ul><li>Deliver upon targets and KPIs set by snacks supply chain and regional procurement</li><li>Attend plant supply chain deployment meetings</li><li>Comply with GMP and continuously improve our Food Safety Programme</li><li>Participate in Regional Sourcing activities and ensure regional / local execution knowledge and strategic input</li><li>Lead the execution and implementation of procurement sourcing strategy</li><li>Leverage regional procurement team to drive values</li><li>Aid in local supplier searches</li><li>Manage interactions with key suppliers</li><li>Manage financial reporting of procurement function</li><li>Manage transactional coordinators and balances workload within the team</li><li>Ensure compliance with policies and procedures</li><li>Deliver policy and process trainings to key stakeholders</li><li>Work closely with key customers to communicate process</li><li>Use data from Process and Systems team to set targets and drive KPIs</li><li>Work with shared services to standardize and automate tactical activities over time</li><li>Suppliers KPIs and service quality and performance improvement plan</li></ul> Requirements: Professional : <ul><li>Undergraduate Degree Required and minimum of 7 years of related work experience within Procurement</li></ul> Technical/Functional: <ul><li>More of Procurement generalist than a specialist.</li><li>Knowledge of order to payment technologies (P2P, SAP) and other procurement digital tools.</li><li>Sound procurement skills (negotiation, supplier management).</li><li>General knowledge of the supplier market in associated country.</li><li>Comprehensive knowledge of purchasing and basic understanding of supply chain management.</li><li>Financial tracking and reporting skill.</li><li>Team player.</li><li>Passionate about process improvement.</li><li>Strong detail orientation.</li><li>Excels at continuous cost reduction/process improvement.</li><li>Excellent communication skills.</li><li>Strong stakeholder management skill.</li><li>Effective at cross-functional teamwork.</li><li>Computer literate with working knowledge of Microsoft Office including Word, Powerpoint and Excel.</li><li>Ability to navigate with ambiguity.</li><li>Ability to multi-task in a fast paced environment.</li><li>Ability to work independently and with a sense of urgency.</li><li>Comfortable with conflict.</li><li>Strong service oriented approach, with timely responsiveness.</li><li>Ability to engage and collaborate with team members and stakeholders from a distance.</li></ul>

Responsibilities <ul><li>Collaborate with Product Managers and cross-functional teams to understand business requirements and translate them into technical solutions on the Salesforce platform.</li><li>Design, develop, and implement custom Lightning Web Components (LWC) on the client-side and leveraging object-oriented design principles and best practices for back-end.</li><li>Create and maintain Apex classes, triggers, and other Salesforce development artifacts.</li><li>Customize and extend standard Salesforce functionality to meet unique business needs.</li><li>Troubleshoot and resolve issues for our Salesforce end users while identifying any root cause problems to prevent future issues.</li><li>Develop, maintain, and extend integrations built on the Force.com platform.</li><li>Collaborate with front-end components to integrate Salesforce applications with external systems and web services.</li><li>Perform unit testing, code reviews, and participate in the overall quality assurance process.</li><li>Apply solid understanding and working knowledge of modern JavaScript for Lightning Web Components to solve for complex business needs.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Information Systems or related field</li><li>Salesforce Certified (e.g., Platform Developer I, Platform Developer II, JavaScript)</li><li>2+ years of experience with SF Command Line tooling, Git, and VS Code</li><li>2+ years of experience with Apex, Visualforce, and other Salesforce development technologies</li><li>2+ years of Proven experience as a Salesforce Developer with a focus on Lightning Web Components (LWC)</li><li>3+ years of experience and strong proficiency in object-oriented design principles and hands-on experience in applying them to Salesforce development.</li></ul>

Overview: <ul><li>The Equipment Engr - Automation and PLC is responsible for ensuring the reliable performance of production equipment by developing, modifying, and troubleshooting PLC programs and CCD (vision) systems.&nbsp;</li><li>The role supports day-to-day plant operations through automation debugging, sequencing improvements, and real-time issue resolution to enhance productivity and OEE.&nbsp;</li><li>This position leads technical training for technicians and new team members, documents system updates, and contributes to continuous improvement initiatives, including deployment and ISO compliance.&nbsp;</li><li>The engineer serves as a key resource in maintaining stable, efficient, and high-quality automated manufacturing processes.</li></ul> Responsibilities: <ul><li>Trouble shooting, Modify or Create Machine PLC program to suit the need of the plant.</li><li>Responsibel for repair and maintenance of the CCD System of the production line.</li><li>PLC system of the automation debugging and improve the sequencing.</li><li>Suggest improvement of automation PLC program to improve productivity and OEE.</li><li>Train technician to resolve the issues encountered between the production.</li><li>CCD light adjustments to improve the performance.</li><li>Responsible to resolve all issues encounter during production run.&nbsp;</li><li>Support on resolving CCD issues encounter during production run and documenting.&nbsp;&nbsp;</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li></ul> Requirements:&nbsp; <ul><li>Bachelor in Major in Electrical/Electronics</li><li>Preferably Mechanical, Electrical/Electronics and Industrial Engineer,</li><li>5 years minimum experience in the automation assembly and Tooling Design &amp; Development</li></ul> Knowledgeable on this different type of Programming Languages: <ul><li>Ladder Logic</li><li>Function block diagrams</li><li>Structured text</li><li>Sequential flow charts</li><li>Instruction List</li></ul>

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28 mlops deployment Jobs found

Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior Software Engineer

Senior AI Engineer

Senior Data Scientist 2

Procurement Operations Manager

Salesforce Developer

Equipment Engr - Automation and PLC

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28 mlops deployment Jobs found

Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior Software Engineer

Senior AI Engineer

Senior Data Scientist 2

Procurement Operations Manager

Salesforce Developer

Equipment Engr - Automation and PLC

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