Full-Time Senior MLOps Engineer
Daniel J Edelman Holdings is hiring a remote Full-Time Senior MLOps Engineer. The career level for this job opening is Experienced and is accepting Worldwide based applicants remotely. Read complete job description before applying.
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Daniel J Edelman Holdings
Job Title
Senior MLOps Engineer
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
Worldwide
Salary
YEAR $69949 - $86060
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Job Details
We are seeking a Senior MLOps Engineer with 5+ years of experience to lead the design, deployment, and optimization of scalable machine learning pipelines, focusing on Generative AI and large language models (LLMs). You will collaborate across teams to streamline workflows, ensure system reliability, and integrate the latest MLOps tools and practices.
Responsibilities:
- Develop and maintain scalable MLOps pipelines for GenAI applications.
- Deploy and optimize GenAI models, including large language models (LLMs) such as GPT and similar architectures, in production environments.
- Develop solutions leveraging traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows
- Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment.
- Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models.
- Define and enforce best practices for model versioning, reproducibility, and governance.
- Monitor and troubleshoot production systems to minimize downtime.
- Utilize Databricks to build and manage data and ML pipelines integrated with GenAI and LLM workflows.
- Evaluate and integrate state-of-the-art MLOps tools and frameworks for LLMs and other GenAI models.
- Stay updated on advancements in GenAI technologies, including LLM fine-tuning and serving, and contribute to strategic initiatives.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI.
- Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT).
- Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face.
- Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services.
- Hands-on experience with Docker, Kubernetes, and container orchestration.
- Expertise with Databricks, including ML workflows and data pipeline management.
- Familiarity with tools like MLflow, DVC, Prometheus, and Grafana for versioning and monitoring.
- Experience implementing security and compliance standards for AI systems.
- Strong problem-solving and communication skills, with a collaborative mindset.
- Experience with support and guidance of junior team members
- Fluency in written and spoken English
Preferred Qualifications:
- Experience with large-scale distributed training and fine-tuning of GenAI models.
- Familiarity with prompt engineering and model optimization techniques.
- Contributions to open-source projects in the MLOps or GenAI space.
- Familiarity with PySpark for distributed data processing.
Skills
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Senior MLOps Engineer at Daniel J Edelman Holdings is
20th of November 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
Worldwide
] applicants. .
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