Systems Engineer

Cloud Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Fixture Design Manager

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

Responsibilities: <ul><li>Respond, manage, and escalate (as needed) technical support requests via the ticketing system, telephone calls, and emails either directly or using remote support tools.</li><li>Responsible for supporting Business user end point devices (Laptops/desktops/Smart phones/Tablets /video conferencing services) either directly or using remote support tools on as-needed basis.</li><li>Ensure compliance of regulatory requirements including cGMP standards and site-specific SOPs when completing assigned functional activities.</li><li>Manage and maintain analytical laboratory and computerized manufacturing control systems in a GMP environment according to established regulatory requirements.</li><li>Perform L1 tasks on Server, Network and Telecom Infrastructure in USA &amp; Canada as needed.</li><li>Assist Core teams in performing L1 troubleshooting tasks on Security tools, technologies &amp; platforms like Crowdstrike, Zscaler, Zero Trust, Privileged access management.</li><li>Maintain inventories of endpoint devices, GMP assets and applications.</li><li>Ensure 100% compliance with the GMP Policies and Procedures.</li></ul> Operations: <ul><li>Handle day to day end user support tickets. Provides IT support to VIP users.</li><li>Work with central IT teams to resolve issues reported via helpdesk system.</li><li>Owns end-to-end responsibility for resolving issues in a timely manner.</li><li>Provides updates on Infrastructure health and corrective/preventive actions.</li><li>Maintains an up-to-date inventory of endpoint devices, servers, GMP assets, OT devices and Network devices.</li><li>Flexible to work in a multi-shift operation environment.&nbsp;</li><li>Can be onsite on need basis to assist during any crisis in off-business hours.</li><li>Ensure site IT SOPs are updated and supports site QA and CSV on GMP tasks.</li></ul> Requirements: Education Qualifications:&nbsp; <ul><li>Bachelor’s degree (IT) or similar Desired Certifications.</li><li>Certifications (preferred) – Current JNCIE-ENT, JNCIE, or CCIE certification/ CCNP, CEH, CISSP, MCSA etc.</li></ul> Experience Required: <ul><li>3 – 5 years’ experience working in a GMP compliant pharmaceutical laboratory/manufacturing environment.</li><li>Working Knowledge of Cisco, Juniper, Aruba Technologies &amp; Architectures (examples- Cloud &amp; Cloud Security, Networking- Network Segmentation, Patching, Next-Gen AV, Avaya VOIP, Teams based Conferencing systems)</li><li>Experience managing and maintaining servers, LAN, IP Phone and WAN systems; Switches/ Routers/ Access Points, VPNs; Knowledge of IT-OT Network Segregation.</li><li>Working knowledge of networking concepts such as Routing, Switching, VLANs, VPNs, DHCP and DNS.</li><li>Hands-on experience with Windows 10/11, Microsoft Office tools, common business applications, digital signing applications, Adobe software, Apple devices and L1 knowledge of Windows Server operating systems, Virtualization Hypervisors like VMWare and Wireless Networking devices like Aruba/HPE.</li><li>Has good knowledge for troubleshooting Microsoft 365 and Microsoft Teams rooms (conferencing systems)</li><li>Oversee and ensure timely repair/replacement of faulty hardware including endpoint devices, network hardware and appliances.</li><li>Well versed on GMP Infrastructure and Applications used in Manufacturing and Laboratories.</li><li>Well versed with GMP Procedures</li></ul>

Responsibilities:&nbsp; <ul><li>Responsible for the implementation, testing, optimization and virtualization of cloud infrastructure across on-premise, cloud and network infrastructure.</li><li>Performs activities pertaining to cloud infrastructure deployment and performance to ensure delivery of cloud infrastructure solutions in alignment with service standards.</li><li>Perform OS and database hardening according to the Authority’s hardening guide.</li><li>Provision of new workload in a Cloud platform.</li><li>Integration of new workload to existing Common Services (eg backup, monitoring, etc).</li><li>Integration of new workload to AD, DNS and DHCP.</li><li>Collaborating with teams to assess current infrastructure and recommend cloud adoption strategies.</li><li>Work with different OEM/Vendor/subcontractor for implementation and integration.</li></ul> Requirements: <ul><li>Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.</li><li>Experience in Terraform will be an added advantage</li><li>Minimum 2 to 4 years IT experience.</li><li>Minimum 3 years of experience working as a System engineer within the operations environment.</li><li>Past working experience in Cloud environment is an advantage.</li><li>Excellent scheduling and multitasking skills</li><li>Meticulous and process-oriented.</li><li>Good, hard-working attitude with ability to work well under pressure.</li><li>Good communication skills English (written, spoken).</li><li>Good analytical skills with ability to work with others to resolve problems.</li><li>Good organization skills, with ability to properly document and track information.</li><li>Dynamic, customer oriented, experience working in a fast-paced environment</li></ul> Skills / Knowledge:&nbsp; <ul><li>Proficiency in one or more cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). Strong knowledge of cloud services, features, and capabilities.</li></ul> Good Knowledge of following products will be advantageous: <ul><li>Linux</li><li>Unix</li><li>Active Directory/DNS</li><li>Good understanding of server, storage and networking concept</li></ul>

Responsibilities: <ul><li>Oversee combined operations of two sites in Lancaster, PA region (Mount Joy and Manheim)</li><li>Lead cross-functional teams including Operations, Supply Chain, Manufacturing Engineering, Quality, Maintenance, and Continuous Improvement.</li><li>Indirect coordination with HR, Finance, and Product Engineering</li><li>Translate strategic objectives from Segment, BU, and functional leadership into site-level goals</li><li>Set and manage expectations for direct and matrixed reports</li><li>Monitor production to optimize resource usage and meet targets for:</li><li>Lean , Safety, Quality, Delivery, Cost, Employee Engagement, and Talent Development</li><li>Drive Continuous Improvement (CI) initiatives to exceed operational goals</li><li>Lead Supply Planning within the BUs Sales &amp; Operations Planning process (18–24 month horizon)</li><li>Ensure end-to-end supply chain readiness, including labor, machine, and supplier capacity through scenario planning.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Manufacturing, Supply Chain, or Business (required)</li><li>Minimum 7 years of operations leadership experience with a proven track record in site transformations</li><li>Minimum 5 years of management experience including general project leadership</li><li>Strong knowledge of plant P&amp;L and solid financial acumen</li><li>Demonstrated Lean leadership; Six Sigma experience is a plus</li><li>Experience in low volume, high mix manufacturing environments</li><li>Ability to manage relationships with multiple customers and suppliers</li><li>ITAR/EAR compliance required – must be a U.S. citizen, national, lawful permanent resident, or granted asylee status</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Overview: <ul><li>HR Operations, Payroll Management, Talent Acquisition, Manpower Plans &amp; HR Budgets, Driving Performance Management Process and Training &amp; Development.</li></ul> Responsibilities: HR Operations <ul><li>Employee Engagement</li><li>Manage Employee Relations: provide guidance and assist line managers in handling employee disciplinary issues based on HR policies &amp; procedures</li><li>Maintain employee profiles: staff registration, job offer, labor contract, contract liquidation, salary, probation, promotion, termination, etc.</li><li>Manage HR information system and handle employee inquiries</li><li>Assure through audits, reports are consistently administered in compliance with company policies and government regulations</li></ul> Talent Acquisition: <ul><li>Lead the recruitment and selection process</li><li>Handle the whole Life-cycle of staffing, such as on-boarding/off-boarding, new employee orientation, exit process/interview</li></ul> Manpower Plans &amp; HR Budgets; <ul><li>Work closely with Country Managers to finalize the HR Manpower Plans and HR Budgets</li></ul> Driving Performance Management Process: <ul><li>Spearhead end to end Performance Management Process in collaboration with Country Manager and Line Managers</li></ul> Training &amp; Development: <ul><li>Drive and deploy training and development programs and processes to reduce competency gaps</li><li>Lead local learning initiatives such as online learning and various learning tools based on business needs</li></ul> Requirements: <ul><li>4-5 years of experience in Human Resources including as HR generalist and/or managerial role;</li><li>Familiar with HR functions (Talent Acquisition, Compensation &amp; Benefits, Learning &amp; Development, HR management system, Performance Management, Talent Management);</li><li>Good communication skills (both verbal and written) in English;</li><li>Ability to work independently and effectively with cross functional teams, build relationships/ credibility across the organization and quickly assume responsibility in a new organization;</li><li>Good understanding of local labor market, labor law/regulations and practices;</li><li>Critical thinking and strong influencing skill;</li><li>Collaborative, trustworthy, well-organized self-starter;</li><li>Good personal and business ethics;</li><li>Good MS Office skills</li><li>Experience in pharmaceutical industry preferred</li></ul>

Responsibilities: <ul><li>Lead and manage the fixture engineering team, providing mentorship and guidance.</li><li>Design and develop machining &amp; assembly fixtures and tooling for manufacturing processes, applying GD&amp;T principle effectively.</li><li>Continuously develop and sustain the technical competency within the design team.</li><li>Collaborate with cross functional team, including product engineering, process, production and quality assurance.</li><li>To perform detail designs and drafting of detail drawings (parts drawings) with 3D software and upon the approval of the project manager in accordance to drawings, assembly instructions &amp; PFMEA requirements, and forward the designs to the respective vendors and suppliers for quotations &amp; fabrication.</li><li>To provide engineering solution to NPI team members for new launch products, tooling, jigs &amp; fixture setup and monitor project timelines and budgets, ensuring timely delivery of fixture solution.</li><li>Ensure proper setup TPM &amp; autonomous maintenance planning on mechanical devices, tools, jig &amp; fixtures with proper procurement documentation and ensure perform the TPM according to TPM planning.</li><li>Support in establishing manufacturing methods, procedures, and activities with proper document (e.g. work Instruction), these includes setting of mechanical devices, tooling, fixture setup and clamping method.</li><li>Initiate and participate in continuous improvement process and 6S at work environment to increase the productivity and maintain safety, quality, cycle time optimization and efficiency towards meeting departmental goals.</li><li>Conduct training for production staffs in workflow and the use and applications of various jig and fixture clamping techniques.</li><li>To conduct the machine/processes capability study and machine acceptance documentation.</li><li>Provide support for internal / external process audits and ensure compliance of established process requirements in the implementation of jigs and fixtures.</li><li>Implement best practice in fixture design and engineering, with a focus on precision and compliance.</li><li>Prepare and present technical documents and reports, including CAPEX investment proposal to management &amp; stakeholder.</li><li>Foster a culture of continuous improvement within the team &amp; stay updated on industry trends and emerging technologies in fixture engineering.</li><li>Support daily task given by Superior from time to time.</li></ul>&nbsp;Requirements:&nbsp; <ul><li>Prefer 8 years relevant professional experience in fixture design and engineering, preferably in a machining/assembly manufacturing environment.</li><li>Bachelor/Master degree in Mechanical Engineering, Manufacturing Engineering, Mechatronic Engineering, or related field.</li><li>Proven leadership experience with a focus on team development and collaboration.</li><li>In-depth knowledge of GD&amp;T and its application in fixture design.</li><li>CNC/precision machining knowledge is an added advantage</li><li>Strong communication and interpersonal skills.</li><li>Strong organization, time management, planning skills and ability to manage multiple tasks with tight deadlines.</li><li>Familiarity with automation and advanced manufacturing technologies.</li><li>Experience with Lean manufacturing principles and techniques.</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Design, implement, and maintain Oracle database systems to meet project and business requirements.</li><li>Perform database migration projects, including upgrades and platform transitions.</li><li>Ensure database performance, reliability, and scalability through optimization and tuning.</li><li>Monitor database health, identify potential issues, and implement corrective actions.</li><li>Manage backup and recovery processes to ensure data integrity and disaster recovery readiness.</li><li>Configure and maintain database security, including user roles, privileges, and encryption.</li><li>Collaborate with development teams to support application performance and troubleshooting.</li><li>Provide documentation, reports, and regular maintenance support for Oracle databases.</li></ul> Requirements: <ul><li>Diploma/Degree in Computer Science, Information Technology, or related fields.</li><li>At least 8 years of hands-on experience with Oracle database projects in GCC environments.</li><li>Strong knowledge of Oracle database architecture, performance tuning, and backup/recovery strategies.</li><li>Experience with AWS RDS for Oracle and Oracle RAC.</li><li>Experience in Oracle TDE implementation.</li><li>Proficient in Oracle database patching, upgrades, and migration.</li><li>Experience in database migration from on-premise to AWS has added advantage.</li><li>Experience in writing Linux shell script to perform data validation on migrated data.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Skills

Industry

Location

Jobtitle

53 aws machine learning Jobs found

Systems Engineer

Cloud Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Fixture Design Manager

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud 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

53 aws machine learning Jobs found

Systems Engineer

Cloud Engineer

Plant Manager

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Fixture Design Manager

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud 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.