AI/ML Engineer Specialist

Overview

We are seeking a mid-level AI/ML Engineer Specialist to join our innovative team in London, focusing on designing, developing, and deploying cutting-edge machine learning and generative AI solutions. This role is pivotal in driving technological advancements and ensuring scalable AI applications are built and optimized for performance. As part of a collaborative environment, the engineer will work closely with product, engineering, and data teams to implement MLOps practices and enhance AI model performance. The successful candidate will have a strong foundation in software engineering fundamentals and a passion for working with advanced AI technologies. The AI/ML Engineer Specialist will play a critical role in leveraging large language models (LLMs), retrieval-augmented generation (RAG), and vector databases to create innovative solutions that meet business objectives. This position offers an exciting opportunity to work with state-of-the-art AI tools and platforms, contributing to the development of AI systems that are both robust and scalable. Our ideal candidate is someone who is passionate about AI and is eager to push the boundaries of technology. This role involves building and optimizing data pipelines, implementing feature engineering workflows, and ensuring the seamless deployment of AI models. The AI/ML Engineer Specialist will also be responsible for incorporating best practices in MLOps, such as continuous integration and continuous deployment (CI/CD) of models, while maintaining a focus on model versioning and system monitoring. The position is designed for someone who thrives in a fast-paced, dynamic environment and is committed to driving innovation in AI. Our team is committed to fostering a culture of collaboration and excellence, where the AI/ML Engineer Specialist will have the opportunity to advance their skills and contribute to impactful AI projects. The role promises a challenging yet rewarding experience for a professional eager to make a significant impact in the field of AI.

Key Responsibilities

• Design, develop, and deploy machine learning models and generative AI solutions.
• Build and maintain scalable AI applications using large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.
• Design data pipelines and implement feature engineering workflows to optimize model performance.
• Collaborate with cross-functional teams including product, engineering, and data teams to achieve project goals.
• Implement MLOps practices, including continuous integration/continuous deployment (CI/CD) and model versioning.
• Monitor production systems to ensure optimal performance and address any issues promptly.
• Optimize model performance through rigorous testing and evaluation methodologies.
• Stay updated with the latest advancements in AI/ML technologies and integrate them into existing workflows.

Requirements

• 3-4 years of hands-on experience in AI/ML engineering, with a focus on designing and deploying machine learning models.
• Proficiency in Python and experience with machine learning libraries such as scikit-learn, XGBoost, and LightGBM.
• Expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience with large language models (LLMs) and prompt engineering.
• Familiarity with vector databases such as Pinecone, Milvus, Weaviate, FAISS, and Chroma.
• Basic working knowledge of Docker and Kubernetes for containerization and orchestration.
• Experience with cloud platforms like AWS, Azure, or GCP AI services.

Education

Bachelor's or Master's in Computer Science, AI, Data Science, or related field.