ML Engineer, LLM – reputed company reputed company

Job reputed company: • 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 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) Benefits: • Highly competitive Salary along with quarterly bonuses • Opportunity to work on fully remote reputed company under a B2B Service Agreement Apply tot his job Apply To this Job