[Remote] ML Engineer (LLM / Google Cloud)

Note:The job is a remote job and is open to candidates in USA. Medier is a creative marketing agency that combines creativity with data-driven insights to deliver impactful results for clients. They are seeking an ML Engineer to train and fine-tune LLMs, deploy them on Google Cloud, and build automation around these models, ensuring they meet business requirements and provide reliable infrastructure. Responsibilities• 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. Skills• 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).• Direct experience with LLMs: prompt engineering, few-shot learning, RAG. • Experience with MLOps tools (MLflow, Vertex AI Pipelines or equivalents). • Experience with messaging/queue systems (Pub/Sub, Kafka, RabbitMQ) and workflow orchestration (Workflows, Airflow, etc.). • Understanding of data security and handling sensitive information, including access control (IAM). Company Overview• Medier is more than just a marketing agency. We're your dedicated creative marketing partner. It was founded in undefined, and is headquartered in, with a workforce of 51-200 employees.Its website is Apply tot his job