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The position of Repair Engineer at Workwise is primarily focused on driving machine learning and generative AI initiatives. This means that a qualified candidate will be responsible for ensuring the development and deployment of effective solutions that integrate into the company's platform. The role emphasizes working on various aspects of natural language processing (NLP) and generative AI tasks. The company is emphasizing its commitment to sustainability by utilizing innovative software solutions.
Workwise is not just another tech company; it aims to revolutionize sustainability reporting through advanced software that automates tedious processes. By focusing on environmental, social, and governance (ESG) goals, the company plays a crucial role in improving how businesses handle reporting requirements, thus fostering efficiency and verifiable results. This focus on sustainability also aligns the company’s mission with professional and personal growth for its employees.
Candidates can expect to engage in the following key responsibilities:
Drive Machine Learning Initiatives: The role involves leading machine learning and generative AI projects from the initial ideation stage through to deployment, ensuring that solutions are robust and scalable.
Natural Language Processing Tasks: The job will require hands-on work related to text generation, semantic similarity, and classification using advanced models that need to be fine-tuned for specific sustainability applications.
Collaboration with Engineers: Close collaboration with software engineers is essential to integrate generative AI and traditional machine learning models into the company’s platform, focusing on performance security, and efficiency at scale.
Adoption of MLOps Practices: Utilizing modern MLOps practices and test-driven development (TDD) will be part of the role, ensuring that models are reliable and quickly iterable for deployment.
Product Management Collaboration: Partnering with product management, sustainability experts, and engineers to translate business needs into effective AI-driven features is crucial.
To qualify for this role, candidates should demonstrate a strong skill set in several areas:
Machine Learning and GenAI: The ideal candidate must have extensive experience (minimum of three years) in deploying models such as BERT or Llama in production, particularly for text-related tasks.
Programming Skills: Proficiency in Python is essential, alongside programming and model integration skills. Knowledge of TypeScript would be beneficial.
MLOps and CI/CD: Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices, particularly using platforms like GitHub, is important to streamline model development and deployment.
Data Security: A solid understanding of data privacy and security is necessary, especially in the context of machine learning and cloud environments.
Expertise in GenAI and NLP: Specific skills in applying generative AI to enhance user experiences with a focus on advanced text generation and summarization for sustainability data processing.
Collaborative Mindset: The candidate must value collaboration, engage in pair programming, and prioritize high-quality work through peer code reviews.
Workwise offers a flexible work environment that supports remote work as well as regular team meet-ups every three months, facilitating connectivity and collaboration among team members. The company promotes a family-friendly atmosphere that helps maintain a balance between work and personal life, which is a highly sought-after trait in today's job market.
Regarding compensation, Workwise commits to providing competitive salary packages and equity options based on the applicant's qualifications and experience, although specific salary figures were not disclosed. They also offer a generous vacation policy, allowing employees 30 days of vacation a year.
Further responsibilities involve continuous learning opportunities, supported by an educational budget for courses and conferences—this is beneficial for professional growth alongside individual contributions towards sustainability initiatives.
In conclusion, the Repair Engineer position at Workwise offers a unique and enriching opportunity for candidates skilled in machine learning and generative AI, combined with a dedication to sustainability. The organization focuses on creating a positive work culture that not only allows for personal growth and collaboration but also deals with pressing environmental issues through innovative solutions. Candidates interested in applying for this exciting position will find that submitting an application is straightforward, requiring no cover letter, and that tracking application status is user-friendly. With a strong emphasis on flexibility, sustainability, and technological innovation, this role at Workwise stands out as a remarkable chance for growth in the field of software development.
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.
