Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Manufacturing Engineer - Electrical

Principal HANA Database Administrator

Mechatronics Engineer

Senior Data Scientist 2

Responsibilities: <ul><li>Develop and execute purchase orders for raw materials, packaging components, consumables, and services in accordance with approved supplier lists and site requirements.</li><li>Maintain optimal inventory levels by balancing material availability with cost-effective order quantities.</li><li>Collaborate with Production Planning and Supply Chain to align material purchases with manufacturing schedules.</li><li>Participate and represent the site in the routine S&amp;OP meeting.</li><li>Monitor supplier performance, including on-time delivery, quality, and responsiveness, and drive corrective actions as needed.</li><li>Negotiate pricing, terms, and contracts with suppliers to achieve cost savings and value-added agreements.</li><li>Maintain accurate purchasing and planning data in the ERP system, ensuring alignment with master data and inventory control requirements.</li><li>Identify and qualify alternative suppliers to mitigate supply risks and ensure business continuity.</li><li>Coordinate with Quality Assurance and Quality Control to ensure incoming materials meet specifications and quality standards.</li><li>Support new product introduction by sourcing and securing materials in alignment with project timelines.</li><li>Generate and track Production Orders through release to ensure on time, in full deliveries to customers.</li><li>Track and report key procurement and planning metrics, such as supplier on-time delivery, inventory turns, and purchase price variance.</li><li>Ensure compliance with all cGMP, DEA, and regulatory requirements for the procurement and handling of controlled substances and high potent materials.</li><li>Participate in cross-functional process improvement initiatives to enhance supply chain efficiency and reliability</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain Management, Business Administration, or related field preferred; equivalent work experience considered.</li><li>Minimum of 3 years of procurement, planning, or supply chain experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience with controlled substances, high potent APIs, and regulated material handling preferred.</li><li>Strong knowledge of ERP/MRP systems, purchasing processes, and inventory control principles.</li><li>Familiarity with cGMP, DEA, and FDA requirements related to materials management.</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>

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>

Role Overview: <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.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <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>

Responsibilities: <ul><li>Accurately process trade finance transactions, including Letters of Credit (LC), Standby Letters of Credit (SBLC), Documentary Collections, and Trade Loans.</li><li>Ensure timely and accurate execution of trade finance transactions, adhering to internal policies and regulatory requirements.</li><li>Verify trade documents for completeness and compliance with UCP 600, ISBP, and other relevant trade finance govering rules and regulations.</li><li>Liaise with counterparties and internal stakeholders to address inquiries and resolve issues related to trade finance transactions.</li><li>Maintain accurate records of all trade finance transactions and activities, daily reconcilaition.</li><li>Assist in resolving operational issues and ensuring seamless trade finance operations.</li></ul> Requirements: <ul><li>Minimum 3 years of Trade Finance Operations experience.</li><li>Sound knowledge in International Trade Governing Rules of UCP, ISBP, URC, URR, Incoterms.</li><li>Familitarity with AML/CFT Guidelines for Trade Finance.</li><li>Meticulous and possess a keen eye for details.</li><li>Strong analytical, problem-solving, follow-up and communications skills.</li><li>Able to work independently and a strong team player.</li><li>Proficient in Microsoft Office applications.</li></ul>

Role Description: <ul><li>Seeking a skilled Electrical &amp; Electronics Engineer to manage the electrical/ electronics infrastructure, control systems, and automation for our electroplating operations, ensuring optimal performance, quality, and safety in a fast-paced manufacturing environment.</li></ul> Responsibilities:&nbsp; <ul><li>System Design &amp; Implementation: Install electrical systems, schematics, and controls for plating lines (rectifiers, heaters, pumps, automation).</li><li>Automation &amp; Control: Program, troubleshoot, and maintain PLC, SCADA, and HMI systems for automated plating processes, ensuring consistency and efficiency.</li><li>Power Management: Manage high-current DC power supplies (rectifiers) and associated distribution systems for plating baths</li><li>Maintenance &amp; Troubleshooting: Perform preventative maintenance, diagnostics, and rapid resolution of electrical faults in plant equipment and control systems.</li><li>Safety &amp; Compliance: Ensure all electrical installations and operations meet strict safety standards, codes and environmental regulations.</li><li>Process Optimization: Analyze electrical data to improve plating quality, efficiency, and cost-effectiveness, working closely with Plating Engineers/Mechanical engineers/chemists.</li><li>Documentation: Create and maintain detailed technical documentation, including electrical line diagrams, BOMs, and test reports.</li><li>Collaboration: Work with mechanical engineers, production staff, and vendors on project execution and system upgrades.</li></ul> Requirements: <ul><li>Education: Bachelors degree in Electrical &amp; Electronics Engineering.</li><li>Experience: Proven experience in industrial automation, power electronics, or electroplating operations.</li><li>Technical Skills: Strong knowledge of PLCs, HMIs, VFDs, and industrial control systems.</li><li>Proficiency in reading electrical drawings, schematics, and blueprints.</li><li>Understanding of power electronics (rectifiers) and DC power systems. o	Familiarity with plating processes (e.g., Nickel, Zinc, Chrome) and associated chemicals.</li><li>Knowledge of safety standards for electrical systems in industrial environments.</li><li>Soft Skills: Excellent problem-solving, analytical, leadership, and communication skills.</li></ul>

Role Description: <ul><li>The Principal HANA Database Administrator will serve as the organization’s top technical authority for SAP HANA database environments.</li><li>This role is responsible for designing, implementing, and optimizing large-scale HANA systems to ensure high availability, security, and performance.</li><li>The individual will lead strategic initiatives, mentor team members, and collaborate with cross-functional teams to support mission-critical enterprise applications.</li></ul> Responsibilities: Architecture &amp; Strategy <ul><li>Define enterprise-level SAP HANA architecture and standards.</li><li>Develop strategies for scalability, high availability, disaster recovery, and security compliance.</li></ul> Database Administration <ul><li>Install, configure, and upgrade SAP HANA systems.</li><li>Perform advanced performance tuning, query optimization, and memory management.</li><li>Monitor system health and proactively resolve issues.</li></ul> Data Management <ul><li>Manage data provisioning, replication, and integration with SAP and non-SAP systems.</li><li>Ensure compliance with data governance and security standards.</li></ul> Leadership <ul><li>Act as a subject matter expert for SAP HANA across the organization.</li><li>Mentor junior DBAs and provide technical guidance to project teams.</li><li>Drive automation and best practices for database operations.</li></ul> Innovation <ul><li>Evaluate emerging technologies and recommend enhancements.</li><li>Lead initiatives to improve efficiency and reduce operational risk.</li></ul> Requirements: Education: <ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li></ul> Experience: <ul><li>10+ years of database administration experience, with at least 5 years in SAP HANA.</li><li>Proven track record managing large-scale, mission-critical HANA environments.</li></ul> Technical Skills: <ul><li>Expertise in SAP HANA architecture, sizing, and performance tuning.</li><li>Strong knowledge of Linux OS, virtualization, and cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with SAP Basis and integration with S/4HANA, BW/4HANA.</li></ul> Certifications: <ul><li>SAP Certified Technology Specialist – SAP HANA.</li><li>Additional certifications in cloud or database technologies preferred.</li></ul>

Role Description: <ul><li>The Position has been created to lead a team of Mechanical Designers, Electrical Automation Engineers and Technicians of the Operations team to define the process and build the machines needed to make the new products in line with the strategy map and market demand.</li></ul> Responsibilities: <ul><li>Responsible for working with a team of engineers for new project launches. Coordination with different technology leads connected with new projects. Collaborating with ME, OPS, AQE, NPI and PLTL team for execution of all new projects as per agreed APQP timelines.</li><li>Responsible for execution of PLTL projects and adherence to launch sheet requirements.</li><li>End to End responsible for capturing the voice of Customers and All Stakeholder requirements of the product to meet the expectations</li><li>Act as a purposeful bridge between ME and operations.</li><li>Work closely with project management and NPI procurement for capacity and streamlined supplies&nbsp;</li><li>Identify safety, quality and cost saving opportunities on new and existing projects.</li></ul> Requirements: <ul><li>Technical Degree/Diploma in Mechatronics - NTTF/BE</li><li>Hands own experience assembly of machines and troubleshooting</li><li>1 to 4+ years of experience working in medium or large matrix organizations.&nbsp;</li><li>Hands on Experience in designing and building Complex and high precision machines, high accuracy assembly automation machines for Automotive or electronics industries</li><li>Experience in Robot programming.</li><li>Vision inspection and testing machines like leakage testers and electrical testers experience&nbsp;</li><li>PLC and HMI Programming, Servo programming and tuning, and trouble shooting</li><li>Updated knowledge on current Programming Software and Design Software.</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>

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87 the cloud cost officer Jobs found

Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Manufacturing Engineer - Electrical

Principal HANA Database Administrator

Mechatronics Engineer

Senior Data Scientist 2

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87 the cloud cost officer Jobs found

Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Manufacturing Engineer - Electrical

Principal HANA Database Administrator

Mechatronics Engineer

Senior Data Scientist 2

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