Staff ML Engineer/GenAi
Firmenname für PREMIUM-Mitglieder sichtbar
- September 2024
- Mai 2025
- D-10115 Berlin
- auf Anfrage
- Remote
- 10.09.2024
Projekt Insights
Projektbeschreibung
Financial Services Client
Remote Working
6-9 month contract
English speaking
What You'll Bring:
- Over 6 years of experience as a Machine Learning Engineer, with a focus on developing tools and services for production ML applications.
- Proficiency in designing and building ML infrastructure for model training, deployment, inference, and validation.
- Experience with distributed systems and AI platforms, including LLM APIs, cloud-based solutions, and open-source tools.
- Proven ability to lead architecture design projects from conception to execution, with a track record of enhancing the team's AI development efficiency.
- Strong problem-solving skills and the capability to convey complex concepts clearly to both technical and non-technical stakeholders.
- Experience collaborating with product managers, project managers, and other cross-functional teams.
- Effective documentation and communication skills, especially in a distributed team environment.
Bonus Points:
- Experience with LLM solutions across various cloud providers.
- Successful contributions to open-source projects.
- Proven track record of deploying multiple projects with active user bases.
- Experience in responsible AI practices, transparent algorithms, and prioritizing user needs.
- Excellent communication skills, both written and verbal, with the ability to simplify complex topics for diverse audiences.
- A commitment to continuous learning and skill improvement.
- Familiarity with browser extension architecture or ecosystems.
- Experience in open-source environments.
Remote Working
6-9 month contract
English speaking
What You'll Bring:
- Over 6 years of experience as a Machine Learning Engineer, with a focus on developing tools and services for production ML applications.
- Proficiency in designing and building ML infrastructure for model training, deployment, inference, and validation.
- Experience with distributed systems and AI platforms, including LLM APIs, cloud-based solutions, and open-source tools.
- Proven ability to lead architecture design projects from conception to execution, with a track record of enhancing the team's AI development efficiency.
- Strong problem-solving skills and the capability to convey complex concepts clearly to both technical and non-technical stakeholders.
- Experience collaborating with product managers, project managers, and other cross-functional teams.
- Effective documentation and communication skills, especially in a distributed team environment.
Bonus Points:
- Experience with LLM solutions across various cloud providers.
- Successful contributions to open-source projects.
- Proven track record of deploying multiple projects with active user bases.
- Experience in responsible AI practices, transparent algorithms, and prioritizing user needs.
- Excellent communication skills, both written and verbal, with the ability to simplify complex topics for diverse audiences.
- A commitment to continuous learning and skill improvement.
- Familiarity with browser extension architecture or ecosystems.
- Experience in open-source environments.
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