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Workwise is positioned as a pioneering company aimed at transforming how organizations manage their Environmental, Social, and Governance (ESG) goals. The company focuses on developing innovative software solutions that automate the reporting process for sustainability, thereby alleviating the burdens associated with traditional reporting methods. With a commitment to improving environmental standards, Workwise offers an impactful role for professionals keen to contribute to sustainability efforts through technology.
The job title is Repair Engineer (m/w/d), which is a full-time position. The primary responsibilities involve driving initiatives related to machine learning and generative AI, ensuring that solutions are both robust and scalable. The role focuses on enhancing the firm’s platform through natural language processing (NLP) tasks such as text generation, semantic similarity, and classification.
In this role, you can expect to:
Drive AI Initiatives: Lead projects from ideation to deployment, ensuring the solutions are seamlessly integrated into the Workwise platform. This includes participating in initiatives that apply AI technologies to real-world sustainability challenges.
Collaborate with Engineers: Work closely with software engineers to integrate generative AI and traditional machine learning models. The focus here is on optimizing for efficiency, security, and performance.
Utilize MLOps Practices: Employ modern practices such as Test Driven Development (TDD) to ensure that the pipelines built for the models are maintainable and can be iterated quickly.
Partner Effectively: Collaborate with product management and engineering teams to translate business requirements into AI-driven features that enhance the product's usability and functionality.
To be considered for this position, applicants should have the following skills and qualifications:
Proficiency in Machine Learning (ML) and Generative AI with a strong background, specifically a minimum of three years of hands-on experience in deploying NLP and generative models, such as BERT or Llama, in a production environment.
Strong programming skills, particularly in Python (with TypeScript as a plus), and proven experience in integrating language models into production systems, focusing on scalability and reliability.
Experience with MLOps and CI/CD, particularly using GitHub, to facilitate streamlined model development and deployment.
An understanding of data security and performance optimization, especially in cloud environments, with a focus on data privacy and security necessities related to machine learning and generative AI applications.
Expertise in GenAI and NLP, specifically in applying GenAI to improve user experiences in relation to sustainability data processing.
A collaborative mindset with an appreciation for pair programming and high-quality work standards through peer code review processes.
While specific salary figures were not disclosed in the job posting, the position is described as offering competitive compensation along with potential equity options based on qualifications and experience. This suggests a competitive salary structure that is aligned with industry standards for similar roles. Additionally, Workwise promotes an inclusive and family-friendly work environment.
Employee Benefits include:
Flexible and Remote Work: Offering fully remote work options that allow for flexibility.
Vacation Time: Generous 30 days of vacation per year.
Top Equipment & Tools: Employees have access to state-of-the-art technology setups.
Continuous Learning: Workwise provides an educational budget which can be used for training courses, conferences, and other learning opportunities, thus supporting career growth and skill enhancement.
At Workwise, the emphasis on a family-friendly environment reflects their commitment to supporting a healthy work-life balance. The flexibility to work from anywhere, combined with regular team meet-ups every three months, fosters a collaborative culture while respecting personal time and commitments.
This job opportunity at Workwise appeals not only to seasoned professionals in the fields of machine learning and AI but also to those who are passionate about contributing to sustainability through innovative technology. The role provides a chance to work with cutting-edge technologies in an environment that values growth, collaboration, and work-life balance. If you are a skilled engineer with a desire to make a meaningful impact, this position could be a worthwhile opportunity.
This job offer was originally published on jooble.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
