{"id":3447632,"url":"https://alion.io/job/bold-senior-engineer-devops-machine-learning-operations","title":"Senior Engineer-Devops, Machine Learning Operations","company":{"id":1931513,"name":"BOLD","domain":"bold.com","url":"https://alion.io/company/bold-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Feature Store","optional":false},{"name":"Incident Management","optional":false},{"name":"Linux","optional":false},{"name":"Metaflow","optional":false},{"name":"MLFlow","optional":false},{"name":"MySQL","optional":false},{"name":"ONNX","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2025-11-28T04:21:31Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T08:36:38Z","board_verified":true,"closed_at":null,"days_open":337,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":337},"description":"BOLD is seeking for Devops professional to own the production ML environments and MLOpsinfrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOpspipelines using AWS services like SageMaker, EMR, and OpenSearch.\nABOUT THIS TEAM\nInfrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.\nWHAT YOU’LL DO\nDesign and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. \nProductionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. \nImplement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. \nManage data/feature stores and search infrastructure for scalable ML inference. \nAutomate CI/CD for ML models and infrastructure with governance and security compliance. \nHandle security patching, cost optimization, and 24x7 on-call rotations for critical services. \nCoordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes. \nWHAT YOU’LL NEED\n4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). \nPython/Bash scriptingfor CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). \nAWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). \nStrong Linux and networking fundamentals; \nHands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX). \nEXPERIENCE-\nMLOps Sr. Engineer, DevOps - 4.5+ years \nAbout Bold\nWe Transform Work Lives\nAs an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.\nWe Celebrate And Promote Diversity And Inclusion\nWe value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.\nUnder San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.","description_format":"text","description_chars":3463,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Job Boards & Aggregators"],"lifecycle":[{"event":"open","at":"2026-10-29T09:11:06Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.539,"p_room":0.28,"age_days":337,"expected_fill_days":107,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/bold-senior-engineer-devops-machine-learning-operations","json_url":"https://alion.io/job/bold-senior-engineer-devops-machine-learning-operations.json","meta":{"generated_at":"2026-10-31T09:31:05Z","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":14387,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":1931513},"rest":"https://alion.io/mcp/rest/get_company?id=1931513"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbold-senior-engineer-devops-machine-learning-operations"},{"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%2Fbold-senior-engineer-devops-machine-learning-operations"},{"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%2Fbold-senior-engineer-devops-machine-learning-operations"},{"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/bold-senior-engineer-devops-machine-learning-operations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbold-senior-engineer-devops-machine-learning-operations"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3447632}},{"tool":"search_jobs","arguments":{"company":"bold.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3447632},"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"}}