AI/ML Engineer developing and deploying solutions for pharmacy technology at VXForward. Collaborating with cross - functional teams to enhance workflows and operational efficiency.
About the role
- Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open-source context.
Responsibilities
- Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM
- Create and manage inference serving deployment pipelines
- Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models
- Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research
- Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance
- Give thoughtful and prompt code reviews
- Continuous collaboration with internal and external open source committers and contributors while contributing to vLLM and related projects
Requirements
- Strong understanding of machine learning and deep learning fundamentals
- Experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills with proven experience implementing Python based machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Understanding of Linear Algebra, Gradients, Probability, and Graph Theory
- BS, or MS, or PhD in computer science or computer engineering or a related field.
Benefits
- Flexible work arrangements
- Professional development opportunities
- Health insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Technical leader for ML - powered Supply & Fleet Optimization Systems at Lime. Driving scalable, high - impact systems for fleet optimization and forecasting.
Software Engineer responsible for MLOps technology at BMO, focusing on software development lifecycle and system designs. Collaborating with functional teams to translate user requirements into technical specifications.
Machine Learning Engineer at Red Hat focused on optimizing AI models and contributing to open - source AI tooling. Collaborating on model compression algorithms and deploying deep learning research solutions.
Tech lead driving ML/AI initiatives in grocery delivery optimization. Identifying opportunities and mentoring team members for impactful solutions.
Principal ML Engineer at a global networking leader shaping ML strategy and building intelligent systems for network management. Driving innovation in fields like Generative AI and Data Mining.
MLOps Engineer ensuring operationalization of machine learning models at Autodesk. Collaborating across teams for AI/ML platform efficiency.
Senior Machine Learning Engineer on AI Generation Engine team designing and building AI - first products at SandboxAQ. Focus on the end - to - end ML lifecycle from data exploration to model deployment.
Machine Learning Engineer focusing on end - to - end ML lifecycle at SandboxAQ. Joining AI Generation Engine to design and prototype AI - first products leveraging Large Quantitative Models.
AI/ML Architect at 3Pillar setting the technical direction for scalable AI solutions across multiple domains. Evaluating technologies and aligning AI initiatives with business goals and standards.