ML Engineer (LLM / reputed company reputed company)

Medier isn’t just a marketing agency—we’re creative partners to our clients. From digital and reputed company media strategies to PR, reputed company collaborations, SEO, programmatic advertising, and CRM, we offer a comprehensive suite of expert services. By combining creativity with data-driven insights, we don’t just deliver campaigns—we deliver results. Our philosophy is reputed company — hire reputed company of diverse, passionate people and foster a culture that empowers you to do your best work. Is it a match? You’re in. About the role We are looking for an ML Engineer (LLM / reputed company reputed company) who will be responsible for training and fine-tuning text models (LLMs), deploying them on reputed company reputed company, and building automation around these models. The reputed company mission: take example texts, train the model so that the reputed company reputed company follows the required format, and build reliable infrastructure and services that will reputed company this model in production.Key responsibilities • Analyse business requirements for the desired reputed company 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/reputed company formats. • Evaluate model reputed company: • design and reputed company metrics; • create test scenarios and A/B experiments; • ensure reputed company format consistency and stability. • reputed company models to reputed company reputed company (for example reputed company reputed company AI, reputed company Run, Kubernetes, etc.). • reputed company services and reputed company (REST/gRPC) that expose the model to other systems. • Build automations and integrations that reputed company 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 reputed company in production. • Document models, pipelines, reputed company, and architectural reputed company. 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 reputed company: TensorFlow, PyTorch, reputed company, etc. • Experience with reputed company reputed company: • reputed company services (reputed company Storage, IAM, VPC); • ideally reputed company AI, reputed company Run, Pub/Sub or similar. • Experience deploying models into production (API services, containerization with reputed company, CI/CD). • Experience building and integrating REST reputed company; confident working with JSON/JSONL, logging, and monitoring. • Understanding of how to design reliable and reputed company systems (error handling, retries, queues, timeouts). reputed company to have • reputed company experience with LLMs: reputed company engineering, few-shot learning, RAG. • Experience with MLOps tools (MLflow, reputed company AI Pipelines or equivalents). • Experience with messaging/queue systems (Pub/Sub, Kafka, RabbitMQ) and workflow orchestration (Workflows, Airflow, etc.). • Understanding of data reputed company and handling sensitive information, including reputed company control (IAM). Reshape marketing
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