{"id":3279411,"url":"https://alion.io/job/brilo-ai-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":4478171,"name":"Brilo AI","domain":"brilo.ai","url":"https://alion.io/company/brilo-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":46000,"period":"year","method":"role_seniority_country_cell","sample_n":39},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Asyncio","optional":false},{"name":"Azure","optional":false},{"name":"Dependency Injection","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Sentry","optional":false},{"name":"WebSockets","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubernetes","optional":true},{"name":"llama.cpp","optional":true},{"name":"Prometheus","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-26T15:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T15:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We're looking for a seasoned Machine Learning Engineer with a strong background in event-driven architecture, real-time systems, and AI/LLM integration. You'll be responsible for architecting and implementing high-performance, distributed systems with dynamic functionality, real-time processing, and seamless AI model interaction. This role is perfect for someone passionate about deep Python internals and building intelligent infrastructure at scale.\n\nResponsibilities: \nDesign and develop scalable, distributed systems using Python.\nBuild and maintain LLM/AI integration pipelines (OpenAI, Azure OpenAI, open-source models).\nDevelop real-time communication systems (text/voice over WebSockets).\nCreate dynamic function registration and runtime execution frameworks.\nImplement robust error handling, monitoring, and logging systems.\nWrite clean, modular, and well-documented code following best practices.\nCollaborate with cross-functional teams on system architecture and performance tuning.\n\nRequirements: \n5+ years of professional Python development experience.\nStrong problem-solving and debugging skills.\nExcellent written and verbal communication.\nSelf-starter with close attention to detail.\nComfortable reviewing code, writing documentation, and mentoring peers.\nAbility to understand and manage complex system interactions.\n\nExpertise in: \nAdvanced Python: decorators, metaclasses, async/await, etc.\nAsynchronous programming with asyncio.\nEvent-driven architecture and WebSocket communication.\nDynamic function registration and runtime execution.\nDependency injection and context management patterns.\nType hints, Pydantic, and runtime type enforcement.\n\nDeep understanding of: \nOpenAI / Azure OpenAI API integration.\nReal-time communication protocols.\nAPI design (REST, GraphQL optional).\nError handling in distributed systems.\nLogging and monitoring (e. g., Sentry, custom metrics).\nTesting strategies (unit, integration, mocking async flows).\n\nNice to Have: \nExperience with:\nDeploying open-source LLMs on Azure (e. g., HuggingFace Transformers, Llama.cpp, etc. ).\nFastAPI, GraphQL, or similar modern Python frameworks.\nDocker, Kubernetes, and containerized deployments.\nCI/CD pipelines and release automation.\nSentry, Prometheus, or other observability platforms.\nSkills\nAI, 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