Medier Agency ยท 1 month ago
ML Engineer (LLM / Google Cloud)
United States
Full-time
Remote
Mid Level
3+ years expMedier 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.
CRMMarketingSEOSocial Media Marketing
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
Qualification
Required
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)
Preferred
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
Medier Agency
Medier is more than just a marketing agency. We're your dedicated creative marketing partner.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase