Senior MLOps Engineer
Senior MLOps Engineer
Posted on :
30-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Edelman is a voice synonymous with trust reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility empathy is progress and curiosity is momentum.
At Edelman we understand diversity equity inclusion and belonging (DEIB) transform our colleagues our company our clients and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all reflects and represents the world in which we live and fosters trust collaboration and belonging.
We are currently seeking a Senior MLOps Engineer with 5 years of relevant 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.
Why Youll Love Working with Us
We are at an exciting point in our journey leveraging Generative AI (GenAI) Large Language Models (LLMs) and advanced RetrievalAugmented Generation (RAG) techniques to build intelligent datadriven systems that deliver powerful PR insights. Youll also work on developing agentic workflows that autonomously orchestrate tasks enabling scalable and dynamic solutions.
Our data stack is modern and efficient designed to process largescale information automate analysis pipelines and integrate seamlessly with AIdriven workflows. This is an excellent opportunity to make a significant impact on projects that push the boundaries of AIpowered insights and automation.
If youre passionate about building highperformance data systems working with cuttingedge AI frameworks and solving complex challenges in a supportive forwardthinking environment youll thrive here!
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 costefficient 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 stateoftheart MLOps tools and frameworks for LLMs and other GenAI models.
- Stay updated on advancements in GenAI technologies including LLM finetuning and serving and contribute to strategic initiatives.
Qualifications:
- Bachelors or Masters 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.
- Handson 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 problemsolving 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 largescale distributed training and finetuning of GenAI models.
- Familiarity with prompt engineering and model optimization techniques.
- Contributions to opensource projects in the MLOps or GenAI space.
- Familiarity with PySpark for distributed data processing.
a year
#LIRT9
We are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your experience doesnt perfectly align with every qualification we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
