Senior MLOps Engineer

hace 4 semanas

Madrid, Madrid, España Multiverse Computing LLC A tiempo completo
About Multiverse Computing LLC

Multiverse Computing LLC is a fast-growing deep-tech company founded in 2019. We are a leading Quantum Software company in the EU and one of the 100 most promising companies in AI in the world, with 160+ employees and growing, fully multicultural and international.

We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our main product, Singularity, is used in blue-chip companies in finance, energy, manufacturing, cybersecurity, and many more industries. Another product, CompactifAI, is used in Large Language Models editing.

We are looking for passionate people that want to grow in an ethics-driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture.

Job Summary

We are seeking a highly skilled Senior MLOps Engineer (LLMs) to join our team. As a key member of our MLOps team, you will be responsible for deploying cutting-edge ML/LLMs models to Fortune Global 500 clients.

Key Responsibilities
  • Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring.
  • Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle.
  • Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues.
  • Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize model performance and resource utilization.
  • Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability.
  • Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes.
  • Communicate effectively with both technical and non-technical stakeholders, providing updates on Large Language Model performance and status.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience as an ML 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.
  • Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering.
  • Solid experience 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.
  • Proficiency in programming languages such as Python.
  • Perfect English, Spanish is a plus.
  • Great communication skills and a love for working collaboratively in an international environment.
Perks & Benefits
  • Indefinite contract.
  • Equal pay guaranteed.
  • Variable performance bonus.
  • Signing bonus.
  • We offer work visa sponsorship (If applicable).
  • Relocation package (if applicable).
  • Private health insurance.
  • Eligibility for educational budget according to internal policy.
  • Hybrid opportunity.
  • Flexible working hours.
  • Language classes and discounted lunch options.
  • Working in a high-paced environment, working on cutting-edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

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