{"id":810188,"url":"https://alion.io/job/cthesigns-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":669831,"name":"C the Signs","domain":"cthesigns.com","url":"https://alion.io/company/cthesigns","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":256000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-03-04T00:00:00Z","employer_posted_date":"2026-03-04","last_verified_at":"2026-11-03T10:58:40Z","board_verified":true,"closed_at":null,"days_open":244,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":244},"description":"Position Summary\nWe’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll design reliable, secure, and compliant systems for model development, evaluation, deployment, monitoring, and continuous improvement-working closely with ML, data, security, and product teams.\nThis role is ideal for someone who has shipped ML systems in production and is excited about LLM orchestration, RAG, evaluations, guardrails, and observability in a regulated environment.\nKey responsibilities\nMLOps & ML Platform\nDesign and operate ML platforms that support end-to-end workflows: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.\nBuild and maintain CI/CD for ML (testing, packaging, versioning, reproducibility, automated rollbacks, approvals).\nImplement MLOps best practices: model registry, experiment tracking, lineage, governance, and reproducible training environments.\nDevelop scalable training infrastructure (distributed training, GPU scheduling, cost controls, auto-scaling).\nCreate and maintain feature pipelines / feature stores, ensuring consistency between training and inference (training-serving skew prevention).\nEstablish model monitoring and observability: performance, drift, bias/fairness signals (where relevant), latency, throughput, and data quality.\nBuild and own end-to-end LLM delivery pipelines: prompt/versioning, retrieval, orchestration, evaluation, deployment, monitoring, and iterative improvement.\nCreate robust LLM evaluation harnesses (offline + online): golden datasets, automated regression testing, human-in-the-loop review workflows, and risk scoring.\nBuild cost controls: token/cost budgeting, caching strategies, autoscaling, and performance tuning.\nDeployment, reliability, and operations\nProductionize ML Models on GCP using containers and orchestration (e.g., GKE, Cloud Run), and build CI/CD for ML/LLM systems with automated tests and safe rollouts.\nImplement observability: tracing, metrics, logs, dashboards, alerting for model/system health (latency, token usage, error rates, retrieval quality, hallucination indicators, drift where relevant).\nBuild cost controls: token/cost budgeting, caching strategies, autoscaling, and performance tuning.\nData, governance, and compliance (Healthcare)\nDesign systems with security and privacy by default: IAM, least privilege, secrets management, audit logs, encryption, data retention, and PHI/PII handling.\nImplement governance: model/prompt lineage, dataset provenance, evaluation traceability, and approval workflows aligned with healthcare compliance expectations.\nIntegrate guardrails: content filters, policy checks, prompt injection defenses, structured output validation, and fallback strategies.\nRequirements\n6+ years in software/platform engineering, including 4+ years operating ML systems in production (or equivalent depth).\nStrong experience in ML engineering: training pipelines, evaluation, deployment patterns, monitoring, and iteration loops.\nStrong engineering skills in Python, plus production-grade experience building APIs/services.\nDemonstrated hands-on experience with LLM systems in production and ML engineering: training pipelines, evaluation, deployment patterns, monitoring, and iteration loops.\nStrong experience with GCP services and cloud-native patterns.\nExperience with Vertex AI (pipelines, endpoints, feature store, model registry, evaluation) and/or managed vector search on GCP.\nExperience with containerization and orchestration (Docker, Kubernetes/GKE and/or Cloud Run).\nBenefits\nWhy Join Us?\nJoining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.\nBenefits:\nCompetitive salary and benefits package.\nFlexible working arrangements (remote or hybrid options available).\nThe opportunity to work on life-changing AI technology that directly impacts patient outcomes.\nJoin a team that combines cutting-edge innovation with a mission to save lives and improve health equity.\nContinuous learning opportunities with access to the latest tools and advancements in AI and healthcare.","description_format":"text","description_chars":4384,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hospital Equipment & Furniture","Patient Access & Booking"],"lifecycle":[{"event":"open","at":"2026-09-12T10:06:40Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.205,"p_room":0.28,"age_days":244,"expected_fill_days":35,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/cthesigns-senior-mlops-engineer","json_url":"https://alion.io/job/cthesigns-senior-mlops-engineer.json","meta":{"generated_at":"2026-11-03T13:48:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19192,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":669831},"rest":"https://alion.io/mcp/rest/get_company?id=669831"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcthesigns-senior-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcthesigns-senior-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcthesigns-senior-mlops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cthesigns-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcthesigns-senior-mlops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":810188}},{"tool":"search_jobs","arguments":{"company":"cthesigns.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":810188},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}