Senior Microbiology Technician

Production Supervisor

Manager, Site Logistics & Project Integration

Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI Engineer

Responsibilities: <ul><li>Perform and oversee complex microbiological activities, including environmental monitoring (viable and non-viable), utility sampling (e.g., water, compressed gases), and aseptic process support in areas utilizing isolator technology.</li><li>Conduct and review microbiological testing for bioburden, endotoxin (LAL), sterility, and microbial identification on raw materials, in-process samples, and final products.</li><li>Support and lead aspects of aseptic process simulations (media fills) including planning, execution, incubation, and interpretation of results within isolator systems.</li><li>Assist in the startup and qualification of the microbiology laboratory including equipment qualification, SOP development, method verification/validation, and environmental monitoring qualification.</li><li>Contribute to investigations, non-conformances, and microbiological excursions by providing subject matter expertise and supporting root cause analysis and CAPA implementation.</li><li>Ensure accurate and timely documentation of laboratory data in compliance with data integrity principles and cGMP guidelines.</li><li>Mentor and provide technical guidance to junior microbiology staff, fostering a culture of scientific excellence, compliance, and continuous learning.</li><li>Maintain laboratory readiness for internal and external audits by following and enforcing good laboratory practices and cGMP expectations.</li><li>Participate in ongoing improvements to laboratory procedures, contamination control strategies, and sterility assurance programs.</li><li>Interface cross-functionally with Quality Assurance, Manufacturing, Validation, and Engineering to support cleanroom and equipment qualifications, isolator decontamination cycles, and site expansion activities.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in microbiology, Biology, Life Sciences, or a related field.</li><li>Minimum of 3-5 years of microbiology laboratory experience in a cGMP pharmaceutical or biotechnology manufacturing environment.</li><li>Experience with isolator-based sterile manufacturing processes and aseptic support activities is strongly preferred.</li><li>Working knowledge of cGMPs, FDA and EU Annex 1 requirements, and microbiological standards (USP &lt;61&gt;, &lt;62&gt;, &lt;71&gt;, &lt;85&gt;, &lt;1116&gt;).</li><li>Experience supporting laboratory equipment startup, qualification, and routine maintenance preferred.</li><li>Prior experience with high potent APIs and/or controlled substances is desirable.</li></ul> Skills/Competencies: <ul><li>Advanced technical skills in environmental monitoring, microbial testing, and aseptic processing support.</li><li>Strong documentation and data integrity skills with a meticulous attention to detail.</li><li>Demonstrated ability to troubleshoot microbiological and laboratory equipment issues.</li><li>Effective time management and prioritization skills in a fast-paced environment.</li><li>Strong communication skills with the ability to train and mentor junior staff.</li><li>Proactive, collaborative, and compliance-oriented mindset.</li><li>Comfortable working in cleanroom environments and adhering to gowning and contamination control protocols.</li></ul>

Responsibilities: <ul><li>Supervise daily manufacturing operations including formulation, filling, and packaging of sterile injectable IV bag products within cleanroom environments utilizing isolator technology.</li><li>Manage and develop production team members, providing coaching, training, and performance feedback to ensure adherence to standard operating procedures (SOPs) and quality expectations.</li><li>Author, review, and approve SOPs, batch records, and other production documentation to ensure compliance with cGMP and regulatory requirements.</li><li>Ensure compliance with cGMP, FDA, DEA, OSHA, and other regulatory requirements, particularly in handling high potent APIs and controlled substances.</li><li>Coordinate production schedules to meet demand and support planning, warehouse, and materials management functions.</li><li>Monitor key performance indicators (KPIs) for productivity, quality, and safety; implement corrective and preventive actions as needed.</li><li>Oversee line clearance, equipment setup, and cleaning activities, ensuring readiness for manufacturing operations and minimizing downtime.</li><li>Support deviations, investigations, and CAPA implementation in partnership with Quality Assurance and other support functions.</li><li>Drive continuous improvement initiatives to enhance operational efficiency, product quality, and operator engagement.</li><li>Ensure effective communication between production shifts and other departments to maintain smooth and efficient operations.</li><li>Maintain a strong safety culture, ensuring compliance with Environmental Health &amp; Safety (EHS) programs and best practices.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in engineering, Life Sciences, or a related technical field preferred; equivalent experience considered.</li><li>Minimum of 3–5 years’ experience in pharmaceutical or biotechnology manufacturing, preferably in sterile or aseptic operations.</li><li>Supervisory experience leading production teams in a regulated environment.</li><li>Knowledge of cGMP, aseptic processing, and isolator-based manufacturing.</li><li>Experience with high potent APIs and/or controlled substances preferred.</li><li>Proficiency with production documentation, batch records, SOP authoring, and deviation processes.</li></ul> Requirements: Skills / Competencies: <ul><li>Strong leadership and team management skills with a focus on employee development.</li><li>Excellent organizational and problem-solving abilities.</li><li>Ability to manage multiple priorities in a fast-paced, dynamic environment.</li><li>Clear, concise communication skills (written and verbal).</li><li>Proficiency in Microsoft Office and familiarity with manufacturing execution systems (MES) or ERP platforms.</li><li>Commitment to data integrity, safety, and continuous improvement.</li></ul>

Responsibilities: Warehouse &amp; Materials Management <ul><li>Oversee all warehouse activities including receiving, storage, handling, and internal material movement to ensure compliance with cGMP, DEA, and safety regulations.</li><li>Develop and maintain systems for inventory management, accuracy, and traceability, including raw materials, components, packaging, and finished goods.</li><li>Ensure timely and compliant movement of materials to support production schedules and product release timelines.</li><li>Collaborate with Quality and Compliance teams to maintain cGMP storage practices, support inspections, and ensure readiness.</li></ul> Planning &amp; Supply Coordination <ul><li>Lead the site’s production and materials planning processes to ensure timely availability of materials and resources to meet manufacturing demands.</li><li>Manage and optimize the site’s Master Production Schedule (MPS), material requirement planning (MRP), and capacity planning tools.</li><li>Coordinate with corporate Supply Chain and Procurement functions to align site planning with supplier performance and external manufacturing dependencies.</li></ul> Project Management &amp; Integration <ul><li>Serve as a site-level project manager for cross-functional initiatives including new product introductions (NPIs), facility readiness, equipment onboarding, and continuous improvement projects.</li><li>Develop project timelines, resource allocations, risk assessments, and stakeholder communication plans to ensure successful project execution.</li><li>Support greenfield and expansion activities by coordinating logistics, materials, and equipment staging activities.</li></ul> Systems &amp; Process Development <ul><li>Lead implementation and optimization of ERP and warehouse management systems to enable efficient and compliant operations.</li><li>Develop and implement SOPs, training programs, and KPIs across warehouse and planning functions.</li><li>Identify opportunities for process automation, waste reduction, and continuous improvement in site logistics operations.</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain, Engineering, Business, Operations Management, or related field.</li><li>7+ years of progressive experience in warehouse, planning, or project management roles within pharmaceutical or highly regulated industries.</li><li>Strong understanding of cGMPs, DEA requirements for controlled substances, and sterile manufacturing logistics.</li><li>Proven experience implementing ERP systems (SAP, Oracle, etc.) and managing warehouse or supply chain digital tools.</li><li>PMP certification or formal project management training strongly preferred.</li></ul> Skills/Competencies: <ul><li>Strong organizational, analytical, and problem-solving skills.</li><li>Effective leadership and team-building abilities across cross-functional stakeholders.</li><li>Proficiency in project management tools and planning systems.</li><li>Excellent verbal and written communication with the ability to influence at all levels.</li><li>High sense of ownership, attention to detail, and adaptability in a fast-paced, startup environment.</li><li>Commitment to compliance, quality, and patient-centered operations.</li></ul>

Responsibilities: Project Timeline: <ul><li>Identify and align projects goals and scope with PJM and PM, and breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage core team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost though leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: <ul><li>Guide capacity planning, materials sourcing and manpower to support all builds in the plant.</li><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make multination plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of product, tool capability and demand with the approval of the PjM, Quality, MDPE, and PjE. a. Lead Safe Launch team meetings to ensure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful G5 handoff.</li><li>Align the budget with the Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is better</li><li>PMP certification preferred</li><li>At least 5 years related working experience in project management, 1~2 years’ experience in connector/cable/cable assembly is better</li><li>Fluent oral and written/reading in English</li><li>Experience in IT Project Manager, Data Center Business or digital networking project is an advantage.</li></ul>

Responsibilities: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</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>

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>

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>

Skills

Industry

Location

Jobtitle

39 cnc controlled grinding machine Jobs found

Senior Microbiology Technician

Production Supervisor

Manager, Site Logistics & Project Integration

Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI 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

39 cnc controlled grinding machine Jobs found

Senior Microbiology Technician

Production Supervisor

Manager, Site Logistics & Project Integration

Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI 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.