MLOps/LLMOps Engineer (Fixed-term contract)

Multiverse Computing is a fast-growing deep-tech company that is looking for a MLOps/LLMOps Engineer to work on deploying cutting-edge ML/LLMs models to Fortune Global 500 clients. The company offers a competitive annual base salary, bonuses, relocation package, and a fast-paced startup environment.

Requirements

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 1+ years of experience as an ML/LLM engineer in public cloud platforms
• Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring
• Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering
• Knowledge in model parallelism in model training and serving, and data parallelism/hyperparameter tuning
• Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM
• Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer
• Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc.
• Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre
• Experience with Perfect English, Spanish is a plus
• Great communication skills and a passion for working collaboratively in an international environment

Benefits

• Competitive annual base salary
• Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion
• Relocation package (if applicable)
• Hybrid role and flexible working hours
• Equal pay guaranteed
• International exposure in a multicultural, cutting-edge environment