Machine Engineer - GenAI / NLP / Remote (m/f/d)

Related keywords: programming remote jobdata engineer remote jobremote job software engineer

This page contains product affiliate links.

Position Overview

The position for Machine Engineer - GenAI / NLP is tailored for individuals proficient in machine learning and natural language processing (NLP). This role offers a chance to be part of an innovative team at Workwise, focusing on sustainability-related software solutions that revolutionize how companies handle their Environmental, Social, and Governance (ESG) objectives. Remote work is a major highlight of this position, with full-time employment allowed through CET hours and regular team meet-ups every three months.

Job Description

The core responsibilities of this role involve driving machine learning and generative AI initiatives from their inception through to deployment. The role emphasizes the importance of developing robust, scalable solutions that seamlessly integrate into the existing platform. Key job functions include:

1. Engaging with natural language processing and generative AI tasks, such as text generation and semantic similarity.
2. Collaborating with software engineers to integrate advanced AI models into the platform with a focus on efficiency and performance at scale.
3. Utilizing modern MLOps practices to ensure reliable and maintainable pipelines, enhancing model iteration and deployment speed.
4. Translating business needs into effective AI-driven features through collaboration with product management and engineering teams.

Required Skills

Candidates applying for the Machine Engineer position should bring a comprehensive set of skills and experiences:

• A strong foundation in machine learning and generative AI, with a minimum of three years of hands-on experience specifically in deploying NLP and generative models, such as BERT or Llama.

• Proficiency in programming, particularly in Python, with additional expertise in TypeScript considered a strong advantage. The ability to integrate language models into production systems focusing on reliability, scalability, and security is paramount.

• Familiarity with MLOps and CI/CD practices, ideally using GitHub. This includes streamlining and automating model development and deployment processes.

• A comprehensive understanding of data security and performance optimization, specifically related to cloud environments and machine learning applications.

• A collaborative mindset, demonstrating capabilities in pair programming, and ensuring high-quality work through peer code reviews is essential for success in this role.

  ---

  

  ---

Compensation and Benefits

While the exact salary for this position hasn't been explicitly mentioned, it is stated that competitive compensation packages will be provided, along with equity options based on qualifications and experience. In addition to financial incentives, employees will enjoy:

• A family-friendly environment aimed at fostering work-life balance.

• Flexible work arrangements allowing for remote work, enabling employees to perform their duties effectively from anywhere while ensuring a solid team integration model with meet-ups every quarter.

• Access to state-of-the-art technology, ensuring that team members are equipped with top-of-the-line tools necessary for their work.

• A focus on continuous learning with an educational budget available for courses, conferences, and other training opportunities.

• Generous leave provision of 30 days of vacation per year.

Company Culture and Values

Working at Workwise means contributing to a future that supports sustainable practices through innovative technology. The company values collaboration, quality-driven initiatives, and a supportive work environment. Employees are encouraged to grow both professionally and personally while making a tangible impact on sustainability efforts globally. The emphasis on flexibility and continuous learning illustrates a commitment to employee development, which is critical in today’s ever-evolving tech landscape.

Application Process

Individuals interested in this job opportunity can expect a streamlined application process. Applications can be submitted with ease through the Workwise platform without the need for a cover letter. Additionally, applicants can track their application status live, enhancing the applicant experience and reflecting the company's focus on technology and efficiency.

Conclusion

Overall, the Machine Engineer - GenAI / NLP position at Workwise presents a significant opportunity for skilled professionals looking to advance their careers in the fields of machine learning and natural language processing, specifically in a capacity that contributes to ecological sustainability. If you possess the required skills and are passionate about leveraging AI for impactful change, this role may be a perfect fit.

This job offer was originally published on jooble.com