As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
OVERVIEW
The Software Development Lead is a Leader position who will manage a variety of seniority team members of the Software Development/Engineering team who works on the design, development, and innovation of new products, technologies, or processes.
The Software Lead offers guidance, support and management to other team members on a daily basis with set of KPIs (Key Performance Indicators) and OKRs (Objectives and Key Results), and ensures that design choices align with long-term goals of Welocalize and Welo Data (part of Welocalize).
Main Duties
Architectural Decision-Making:Define and guide the architecture and technical direction of the projects.
Project Management:Takes ownership and full management of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery.
Collaboration: Work closely with other departments and teams, e.g. developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement.
Problem Solving: They apply their technical expertise to solve complex problems, troubleshoot issues during the development phase, and improve product performance or efficiency.
Documentation and Reporting: Maintain documentation and records of tests, designs, and processes, and create detailed reports for internal use or to present to stakeholders.
Team Management and Reporting:Offers team support and supervision, and guidance in best practices, team performance, teamwork environment, and development.
Metrics Analysis:Develop tools and metrics to measure the performance of our models and systems.
Cross-functional Communication:Effective communication with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals.
Budget and Resource Management:Manages the allocation of resources, including time, personnel, and tools, to ensure project success within the given constraints, and works with management to define and manage project budgets.
Quality Assurance and Compliance:Ensures that the software developed meets security standards, regulatory compliance requirements, and industry best practices.
Experience and Skills
At least 2 years' demonstrable experience in a related managerial or team supervision role.
Strong knowledge and experience using NodeJS for back-end, VueJS for front-end, and React.
Demonstrable experience working in a Full-Stack Software development environment.
Strong exposure to back-end software development projects, leading architectural design, tools, processes and people involved, both internal and external.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Experience taking ownership of projects from conception to deployment, and mentoring more junior team members.
Experience on deployment and supervision of machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
Experience in the deployment of digital models into a large-scale AWS environment.
Ability to design and understand architectural systems, front-end and back-end.
Other Key Competencies
Ability to think creatively and come up with innovative solutions.
Strong ability to analyze data and test results to make informed decisions.
Capability to tackle complex challenges with practical solutions.
Excellent communication skills for collaborating with teams and presenting research findings.
Educational Level
Bachelor's or Master's degree in Computer Science or a related field, or an equivalent combination of studies and professional working experience.
