FAQs
What is the job title for this position?
The job title is Senior MLOps Engineer.
What kind of experience is required for this role?
A minimum of 5 years of relevant experience in MLOps, DevOps, or related roles focusing on machine learning and artificial intelligence is required.
What technologies will I be working with in this position?
You will be working with Generative AI, Large Language Models (LLMs), cloud platforms (AWS, GCP, Azure), and MLOps tools such as Databricks, Docker, Kubernetes, TensorFlow, and PyTorch.
Is knowledge of Generative AI and LLMs necessary?
Yes, proven expertise in deploying and managing Generative AI models like GPT, Stable Diffusion, or BERT is necessary for this role.
Will I be responsible for mentoring junior team members?
Yes, the role includes experience with supporting and guiding junior team members.
What are the preferred qualifications for this position?
Preferred qualifications include experience with large-scale distributed training of GenAI models, familiarity with prompt engineering, contributions to open-source projects in the MLOps or GenAI space, and familiarity with PySpark for distributed data processing.
What is the salary range for this position?
The salary range for this position is €60,000 - €75,000 a year.
Are there any additional benefits besides salary?
Yes, other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.
What kind of workplace culture does Edelman promote?
Edelman promotes a culture centered on diversity, equity, inclusion, and belonging, fostering trust, collaboration, and respect among colleagues.
Do I need to have a specific degree to apply?
A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.