Senior Machine Learning Engineer (Production & MLOps Focus)

Senior AI Engineer

Warehouse / Logistics Manager

Senior DevOps Engineer

Senior Software Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

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>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</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</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</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>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</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.</li></ul>

Responsibilities: <ul><li>Liable for the overall warehouse, 3PL and logistics operations including receiving, warehousing/inventory control, pick-pack-ship, and distribution of raw material, components, supplies, and finished goods inventory.</li><li>Manages daily site logistics operations, processes, workflows, and escalation through proactive reporting and compliancy to governmental classification &amp; regulatory licensing requirements.&nbsp;</li><li>Accountable to monitor and approve site logistics spend involving freight payment.</li><li>Plan and organize daily or near-term workload to maximize productivity and on time delivery target while supporting the broader organization.</li><li>Collaborates and coordinates with inter-departmental to meet or exceed all KPIs, goals, and objectives.</li><li>Site focal point on escalations involving transportation, warehousing, brokerage operations, and packaging, and crating issue resolution.</li><li>You are responsible to ensure a safe working environment by keeping track of work areas, equipment and tools such as PPE are correctly used.</li><li>Oversee direct reports career growth and development by leading, developing and mentoring, as a contribution to support the development of a strong leadership team and warehouse operation.</li><li>Effective communication with all levels of leadership; internally and externally (customer &amp; vendors).</li><li>interaction with key stakeholders including production, planning, order fulfilment, materials management, and other supply chain teams.</li><li>Maintain inventory accuracy with appropriate materials transactions and effective communication schedules release data or all other logistics/materials requirement information to buyers, planners, manufacturing, and relevant teams.</li><li>Maintains a high standard of warehouse housekeeping/sanitation, supporting a lean work environment by promoting and delivers continuous improvement processes and programs.</li><li>Administers and accountable for government import &amp; export customs policies, tools, statistical&nbsp;</li></ul> Requirements: <ul><li>Demonstrated leading experience of a warehouse that includes successfully driving a site warehouse’s physical inventory, cycle counts and companywide stock take.</li><li>Experience in leading warehouse in supporting production e.g. like receiving, kitting, outgoing and material handling.</li><li>Experience in leading operational teams involved receiving, warehousing/inventory management, and distribution of materials, supplies, components, equipment, and finished goods.</li><li>Understand warehouse and material handling operational discipline principles and techniques involving warehouse layout, picking, inventory counting, variance resolution and discrepant receipt management.</li><li>Strong leadership and people management.</li><li>Knowledge in WMS, ERP, SAP and Microsoft office (especially excel).&nbsp;</li><li>Ability to manage individual contributors (internal and external) performing site logistics operations.</li><li>Fluent in English language and primary local language (written and verbal).</li><li>Proficiency in Mandarin is an added advantage.</li></ul>

Role Description: <ul><li>Help Build the Next Generation of Cloud-Scalable AI-Based Security Products.</li><li>Have a passion for software security? Excel at implementing public cloud at scale? Desire to apply Machine Learning to solve complex problems.</li><li>This may well be the role for you. Our Communication and Collaboration Security products are cutting edge solutions that empower our client customers to Work Protected™ at tremendous scale.</li></ul> Responsibilities: <ul><li>As a DevOps Engineer within the Communication and Collaboration Security team, you’ll play an integral role in ensuring our code, tools, and deployments are consistent, high quality, and continually optimized.</li></ul> Your responsibilities will include: <ul><li>Implement Jenkins pipelines with modern CI/CD workflows.</li><li>Create properly tuned alerts and dashboards to effectively monitor infrastructure and service health in production.</li><li>Champion and leverage Infrastructure as Code technologies as a way of life.</li><li>Contribute strongly to cloud migration efforts, bringing more and more capabilities into our standard AWS infrastructure</li><li>Write scripts and automated tests to ensure the resilience and quality of our client solutions.</li><li>Innovate and champion improvements in QE and CI/CD processes and tools.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering and/or DevOps.</li><li>Understanding of CI/CD principles, automation technologies, and associated tools and how to optimize them for public cloud.</li><li>Hands-on experience deploying, scaling, monitoring, and maintaining services in AWS.</li><li>Solid scripting/automation experience, with command of two or more scripting languages used for DevOps and/or Test Automation.</li><li>Excellent interpersonal, communication and collaboration skills that enable you to work effectively across teams.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

Role Description: <ul><li>Dive into the forefront of innovation with our Gateway Security team, where we scan massive volumes of email traffic for our customers! Our pioneering Email Platform pushes on the boundaries of what’s possible, leveraging the latest technologies and tooling in AWS.</li></ul> Responsibilities: <ul><li>Implement Jenkins pipelines with modern CI/CD workflows</li><li>Create properly tuned alerts and dashboards to effectively monitor infrastructure and service health in production</li><li>Champion and leverage Infrastructure as Code technologies as a way of life</li><li>Contribute strongly to cloud migration efforts, bringing more and more capabilities into our standard AWS infrastructure</li><li>Write scripts and automated tests to ensure the resilience and quality of Mimecast solutions</li><li>Innovate and champion improvements in QE and CI/CD processes and tools</li></ul> Requirements: Experience <ul><li>7+ years of experience in a complex, multi-disciplinary environment, delivering products within specific time-scales and engaging with multiple senior stakeholders</li><li>Transform Product requirements into features/enhancements working with architects, Product Management and cross teams</li><li>Deliver AWS based Java services through CI/CD and Infrastructure as code using Terraform</li><li>Deploy, Monitor and analyze AWS usage, providing recommendations for cost optimisations without compromising system performance and reliability</li><li>Refactor monolithic applications into a microservices/k8s architecture</li><li>Provide support during critical production incidents and implement preventive measures</li><li>Demonstratable expertise in Java development, with a strong command of Java 11 and above</li><li>Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS</li><li>In-depth knowledge and hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS</li><li>Knowledge and experience on Kubernetes is must</li><li>Experience in building scalable, distributed REST/HTTP-based microservices on hybrid cloud environments</li></ul>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

Responsibilities: <ul><li>Take ownership of the application management for our internal core systems: Microsoft 365, Business Central, and Dynamics CRM.</li><li>Ensure operational stability and act as the first point of contact for internal queries related to these platforms.</li><li>Collaborate with various departments to develop new requirements and processes, ensuring their optimal implementation within our systems.</li><li>Provide technical support for Dynamics CRM, including interfaces and data flows.&nbsp;</li><li>Analyze and optimize existing processes, leveraging Power BI reports for data-driven insights.</li><li>Work closely with external partners and internal stakeholders to maintain and advance system operations.</li><li>Actively contribute to the digitization and automation of our internal workflows.&nbsp;</li></ul> Requirements: <ul><li>Several years of experience managing Microsoft 365, Business Central, and Dynamics CRM.</li><li>Proficiency with Power BI and an interest in data-driven decision-making.</li><li>Enjoy working with diverse departments and have a good understanding of business processes.</li><li>Strong analytical skills, independent and structured working style.</li><li>Good communication skills and a high level of quality awareness.</li><li>Native-level German; good English skills are an advantage.</li></ul>

Role Description: <ul><li>The Document Control Lead will serve as a key quality function responsible for establishing, maintaining, and managing the document control systems critical to ensuring regulatory compliance, data integrity, and operational readiness for a greenfield sterile injectable IV bag manufacturing facility.</li><li>This role will drive the creation, organization, distribution, and maintenance of all controlled documentation required to support GMP operations, regulatory submissions, and inspection readiness.</li><li>The incumbent will play a vital role in building document management systems during site startup and ensure robust control throughout the facility lifecycle.</li><li>This role will also be the site technical resource for coordination and qualification of corporate quality electronic document systems including Trackwise, Learning Management System, and the Document Control System.</li></ul> Responsibilities: <ul><li>Develop and implement comprehensive document control systems aligned with FDA cGMP, ICH, ISO, and company quality standards.</li><li>Manage the creation, review, approval, issuance, and archival of controlled documents including SOPs, batch records, forms, protocols, and reports.</li><li>Establish electronic document management systems (EDMS) and ensure proper system validation and security controls are in place.</li><li>Lead training initiatives for site personnel on document control processes, document authoring standards, and compliance requirements.</li><li>Coordinate cross-functional document reviews, version control, change management, and timely issuance of current documents to ensure operational readiness.</li><li>Monitor and ensure compliance with controlled document workflows, ensuring timely processing and adherence to procedural timelines.</li><li>Support regulatory inspections, internal audits, and external audits by providing controlled document access, retrieval, and documentation support.</li><li>Maintain accurate and organized archives (both physical and electronic) to ensure data integrity, traceability, and inspection readiness.</li><li>Collaborate with Quality Assurance, Validation, Operations, Engineering, and Regulatory Affairs to ensure alignment of document control processes.</li><li>Continuously improve document control processes, leveraging automation, best practices, and compliance trends to ensure long-term system robustness.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in Life Sciences, Quality Management, or related field.</li><li>5+ years of experience in GMP-regulated pharmaceutical document control, preferably in sterile manufacturing.</li><li>Prior experience implementing or managing electronic document management systems (EDMS) strongly preferred.</li><li>Strong understanding of FDA cGMP, ICH, ISO 9001, and data integrity principles.</li><li>Experience supporting regulatory inspections and audits.</li></ul> Skills/Competencies: <ul><li>Expertise in controlled document management principles and electronic systems.</li><li>Strong attention to detail, accuracy, and compliance.</li><li>Excellent organizational and time management skills.</li><li>Ability to manage multiple priorities and document workflows simultaneously.</li><li>Strong cross-functional collaboration and communication skills.</li><li>Proficiency in EDMS platforms, document lifecycle management, and version control.</li><li>Ability to work in a greenfield/startup environment and build systems from the ground up.</li></ul>

Responsibilities: <ul><li>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</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>

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14 workflows Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior AI Engineer

Warehouse / Logistics Manager

Senior DevOps Engineer

Senior Software Engineer

Senior DevOps Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

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14 workflows Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior AI Engineer

Warehouse / Logistics Manager

Senior DevOps Engineer

Senior Software Engineer

Senior DevOps Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

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