Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Senior Machine Learning Engineer at Zefr designing applications to process social media data. Implementing infrastructure for machine learning systems and utilizing state-of-the-art models.
Responsibilities
- Design and build large-scale applications and systems to acquire, process, and store multi-terabytes of social media data
- Implement infrastructure to support machine learning systems processing hundreds of millions of videos daily
- Work with state-of-the-art models, including large language models, to build sophisticated compound AI systems
- Stay updated with the ever-expanding field of Machine Learning Operations
Requirements
- Bachelor's or Master's degree in Computer Science or related field with 5+ years of professional experience in ML Engineering or MLOps
- Strong foundation in mathematics and statistics
- Deep expertise in ML model deployment, serving infrastructure, and production ML systems
- Hands-on experience with transformer architectures (e.g., BERT, ViT) for natural language and vision tasks
- Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data
- Experience with LLM models such as Gemini, GPT, Claude, Qwen, etc.
- Experience with ML experiment tracking, model versioning, and feature stores
- Strong understanding of CI/CD principles applied to ML workflows
- Experience optimizing model inference performance (ONNX, TensorRT, or similar)
- Openness to new technologies and creative solutions
Benefits
- Flexible PTO
- Medical, dental, and vision insurance with FSA options
- Company-paid life insurance
- Paid parental leave
- 401(k) with company match
- Professional development opportunities
- 14 paid holidays off
- Flexible hybrid work schedule
- “Summer Fridays” (shorter work days on select Fridays during the summertime)
- In-office lunches and lots of free food
- Optional in-person and virtual events (we like to celebrate!)
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.