Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

Platform Engineer

Manager, Platform Engineer

DevOps Engineer

Software Engineer - Embedded Developer

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>

Responsibilities:&nbsp; <ul><li>You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc.&nbsp;</li><li>You will also act as a link between technical teams, account teams, executives, partners/customers.&nbsp;</li><li>In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities.&nbsp;</li><li>You will play an important role in the design, development and promotion of AI Solutions and address challenges.&nbsp;</li><li>You will need to travel as needed to meet with clients and attend industry events.</li></ul> Requirements: <ul><li>The role requires at least 10 years of experience in spirits sales and distributor management</li><li>Solid experience within the Hong Kong market is a must.</li><li>FMCG background, on / off premise, outlet management is a must</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>

Role Description: <ul><li>About the Role Our Principal Software Engineer will provide assistance and input to management, develops and leads large multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise.</li><li>The position may also provide sizing or budget recommendations to management.</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,&nbsp;</li><li>We have implemented the following initiatives:</li><li>Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.</li><li>Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.</li><li>Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.</li></ul> Responsibilities: <ul><li>Serve as a primary technical point of contact for external technology resources.</li><li>Provide design input across a product.</li><li>Work directly with customers and end users.&nbsp;</li><li>Serve as acknowledged “go to” person on coding and technical issues.</li><li>Interface with other technical personnel or team members to finalize requirements.</li><li>Write and review portions of detailed specifications for the development of system components of moderate complexity.</li><li>Complete complex bug fixes.&nbsp;</li><li>Design and work with complex data models.</li><li>Mentor lead software developers interested in consultancy on development methodologies and optimization techniques.</li><li>All other duties as assigned.</li></ul> Requirements: <ul><li>10+ years of Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bilingual English and Spanish.</li><li>All Qualified Applicants must reside in Mexico City, able to work in person 2-3 days per week as needed in Reforma, Glorieta del Ahuehuete.&nbsp;</li><li>Expertise in data modeling, design and manipulation, optimization, best practices, tuning, and leading industry trend knowledge.</li><li>Expertise in normalized/dimensional data modeling principles and their application to complex business needs.</li><li>Expertise in test-driven development and maintenance including techniques for applying best practices for overall project benefit.&nbsp;</li><li>Expert knowledge of multiple data storage subsystems.</li><li>Strong budgeting/finance skills.</li><li>Proven expert in partnering and leading internal and external technology resources in solving complex business needs.&nbsp;</li><li>Strong experience with various resource models such as Managed Services and/or Staff Augmentation.</li><li>Strong knowledge in industry best practices in external resource development.</li><li>Solid knowledge of architectural principles.&nbsp;</li><li>Strong proficiency with data manipulation language including optimization techniques.</li><li>Ability to design and work with complex data models.</li><li>Expertise in development languages: .NET- C#, JavaScript (Angular)&nbsp;</li><li>Knowledge in using and developing applicable tool sets.&nbsp;</li><li>Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity.&nbsp;</li><li>Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision- making.</li></ul> Other Information: <ul><li>Work in a way that works for you.</li><li>We promote a healthy work/life balance across the organization.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</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><li>Working for you We know that your well-being and happiness are key to a long and successful career.</li></ul> These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.&nbsp;</li><li>Meal/Grocery Voucher Serve as a primary technical point of contact for external technology resources.</li><li>Provide design input across a product.&nbsp;</li><li>Work directly with customers and end users.</li><li>Serve as acknowledged “go to” person on coding and technical issues.</li><li>Interface with other technical personnel or team members to finalize requirements.</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>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>

Responsibilities: <ul><li>The Professional, Platform Engineering job maintains and partners to design and develop digital technology infrastructure to support information technology applications and services.</li><li>With limited supervision, this job collaborates with cross functional teams to implement new software features to meet user needs and business goals and upgrade existing platforms to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging moderately complex issues.</li><li>This job also participates in code reviews to maintain high code quality and share knowledge with platform engineering team members.&nbsp;</li><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>AUTOMATION: Applies internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed.</li><li>CONTINUOUS IMPROVEMENT: Identifies and suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of relevant work experience.</li><li>Typically reflects 3 years or more of relevant experience.</li><li>Preferred Qualifications</li><li>Proficient in JavaScript, Java and Python</li></ul>

Responsibilities: <ul><li>The Manager, Platform Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, developing and maintaining digital technology infrastructure to support information technology applications and services. This job oversees the delivery against project planning and prioritization, coordinates collaboration with cross functional teams, and allocates resources effectively and efficiently.</li><li>The job also leads the team to implement best in class industry standards to continuously improve the development process&nbsp;</li><li>PROJECT MANAGEMENT: Oversees the implementation and delivery of software projects, including resource allocation, to ensure they are completed on time and within scope.</li><li>TECHNICAL GUIDANCE: Leads the team to apply internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.</li><li>QUALITY ASSURANCE: Leads rigorous testing, code reviews, and adherence to best in class industry standards to ensure the quality and performance of software applications.&nbsp;</li><li>PROCESS IMPROVEMENT: Suggests continuous improvement initiatives and leads the implementation of approved standards to improve software development and deployment processes and operational excellence, applying test driven development as needed.</li><li>COLLABORATION: Coordinates collaboration with product managers, designers and other cross functional teams to gather requirements, set priorities and deliver resolutions to meet business objectives.</li><li>DOCUMENTATION: Leads and reviews the creation and maintenance of comprehensive documentation for software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Leads technical support and troubleshooting for deployed applications for minimal downtime and fast resolution of issues.</li><li>STAKEHOLDER MANAGEMENT: Maintains partnership with key internal and external stakeholders, understanding their needs and enabling effective communication to assure project alignment and success.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>Supervisor experience in software engineering.</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>You will be part of the Software Platforms Teams, working on the development of in-house cybersecurity device software development for Industrial networks.&nbsp;</li><li>You will be building Firewall software for industrial routers which are complex multicore, multi-threaded software systems supporting high-availability, hundreds of network protocols and delivering high throughput packet forwarding.</li><li>Building brand new products, supporting new features, feature enhancements and sustenance of products across the R&amp;D product portfolio, using device software running on hardware.</li><li>Designing embedded systems and selecting appropriate hardware components.</li><li>Developing low-level software to interact with hardware (device drivers, hardware abstraction layers).</li><li>Implementing real-time operating system (RTOS) features or bare-metal code.</li></ul> Requirements: <ul><li>3-15 years’ experience in a product-based organization developing embedded software for Enterprise, Industrial Automation or Service Providers industry.</li><li>Fundamental level understanding of embedded systems architecture, including microcontrollers, microprocessors, and real-time operating systems.</li><li>Ability to work on complex modular software systems, algorithms and be able to design, code, debug and automate software.</li><li>Good knowledge in C/C++ programming, data structures, Algorithms &amp; debugging tools.</li><li>Good knowledge in Linux based environment, with extensive knowledge of Linux Internals.</li><li>Some hands-on operating systems, IPCs &amp; multi-thread programming experience.</li><li>Advanced working level knowledge of Computer networks and Network protocols in TCP/IP, switching (L2), routing (L3) &amp; security protocols.</li><li>Ability to work with existing code base.</li><li>Hands-on experience in Versioning and Git/GitHub/Bitbucket repository.</li><li>Experience with Unit test strategy and execution.&nbsp;</li><li>Experience with Python or equivalent scripting languages</li><li>Experience with packet generating and network test tools.&nbsp;</li></ul>

Skills

Industry

Location

Jobtitle

23 python Jobs found

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

Platform Engineer

Manager, Platform Engineer

DevOps Engineer

Software Engineer - Embedded Developer

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

23 python Jobs found

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

Platform Engineer

Manager, Platform Engineer

DevOps Engineer

Software Engineer - Embedded Developer

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.