ML Engineer – LLM, Google Cloud

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Medier Agency

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B2B • eCommerce • Marketing

Medier Agency is a unique marketing platform designed to boost growth for top brands and services by forging mutually beneficial partnerships and providing customized solutions. They specialize in an array of marketing services including digital marketing, PR, event management, influencer collaborations, affiliate marketing, SEO, and social media. Medier Agency adopts a holistic, data-driven approach to ensure the success of its clients' marketing strategies and overall business growth.

51 - 200 employees

🤝 B2B

🛍️ eCommerce

📋 Description

• Analyse business requirements for the desired output format and the logic the model must implement. • Prepare datasets based on example texts: cleaning, annotation, creating training/validation splits. • Train and fine-tune LLMs for specific use cases: • configure training parameters; • experiment with prompts, system instructions, input/output formats. • Evaluate model quality: • design and track metrics; • create test scenarios and A/B experiments; • ensure output format consistency and stability. • Deploy models to Google Cloud (for example via Vertex AI, Cloud Run, Kubernetes, etc.). • Develop services and APIs (REST/gRPC) that expose the model to other systems. • Build automations and integrations that call the model: • background jobs, queues, event-driven triggers; • integration with internal services and databases. • Implement MLOps pipelines: • automate training / retraining workflows; • version models and datasets; • monitor model performance and quality in production. • Document models, pipelines, APIs, and architectural decisions.

🎯 Requirements

• 3+ years of software development experience (preferably Python). • Hands-on experience with ML / NLP: understanding of models, loss functions, training and validation workflows. • Practical experience with at least one ML framework: TensorFlow, PyTorch, Hugging Face, etc. • Experience with Google Cloud: • core services (Cloud Storage, IAM, VPC); • ideally Vertex AI, Cloud Run, Pub/Sub or similar. • Experience deploying models into production (API services, containerization with Docker, CI/CD). • Experience building and integrating REST APIs; confident working with JSON/JSONL, logging, and monitoring. • Understanding of how to design reliable and scalable systems (error handling, retries, queues, timeouts).