{"id":2498158,"url":"https://alion.io/job/allcloud-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":36623,"name":"AllCloud","domain":"allcloud.io","url":"https://alion.io/company/allcloud","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-06T14:11:14Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-15T00:31:33Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Description\nAbout AllCloud\nAllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.\nAllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.\nAllCloud serves clients across the globe with offices in EMEA and North America.\nwww.allcloud.io\nRole Overview\nWe are seeking a Senior Machine Learning Engineer - AI & GenAI (AWS) to deliver client-facing AI and Generative AI engagements on AWS.\nThis is a hands-on consulting and delivery role where you will own technical work streams end to end and work directly with client architects, stakeholders, data scientists, ML engineers, and solution architects.\nYou will contribute across discovery and assessments, proof-of-concepts, AWS Migration Acceleration Program (MAP) engagements, production hardening, and staff augmentation. The role requires strong technical depth, excellent communication, independent decision-making, and the ability to operate effectively in ambiguous, fast-paced environments.\nKey Responsibilities\nDesign, build, and deploy Generative AI applications on Amazon Bedrock, including RAG, document intelligence, summarisation, classification, and assistant-style solutions.\nArchitect and implement agentic and multi-agent systems using Bedrock, AWS Step Functions, Lambda, and related AWS services.\nBuild retrieval solutions using embeddings, hybrid keyword/vector search, Amazon OpenSearch, pgvector, relevance tuning, reranking, citation, and grounding.\nOwn the Amazon SageMaker lifecycle, including feature engineering, training, tuning, model registry, deployment, MLOps, retraining, drift detection, and CI/CD.\nBuild AI evaluation and observability frameworks using golden datasets, LLM-as-judge, regression testing, error taxonomies, tracing, and human-in-the-loop workflows.\nImplement AI guardrails, prompt-injection defences, PII handling, and responsible AI controls for regulated and data-sensitive use cases.\nBuild and integrate AI data foundations using S3, Glue, Spark, Redshift, Athena, DMS, Kinesis, and Firehose.\nDesign secure, multi-tenant, scalable, and cost-aware AWS architectures using IAM, Lake Formation, VPC, PrivateLink, API Gateway, EKS, ECS, Fargate, and Lambda.\nDefine infrastructure as code using AWS CDK, CloudFormation, or Terraform and deliver through CI/CD.\nEstimate, monitor, and optimise AI and data workload costs, including model selection, token economics, caching, compute, and storage.\nLead technical discovery, requirements sessions, architecture discussions, client presentations, and executive readouts.\nContribute through code reviews, reusable accelerators, internal engineering patterns, and mentoring of engineers.\nRequirements\nBachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, a related quantitative field, or equivalent demonstrated experience.\n5-8+ years of experience in machine learning engineering, data science, or AI engineering, including at least 3 years of hands-on AWS experience.\nAt least 1 year of production-grade Generative AI/LLM experience, including a system taken to production or a client-accepted POC that you can explain in architectural detail.\nDemonstrated experience working directly with external clients or business stakeholders and independently leading technical sessions.\nExperience working effectively across significant time-zone differences with strong self-direction and ownership.\nExcellent written and spoken English, with the ability to create clear architecture documentation and present to senior audiences.\nWhy work for us?\nOur team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.\nAllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.","description_format":"text","description_chars":4701,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Apps Implementation Partners","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-14T05:18:14Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":7,"expected_fill_days":38,"reasons":["conf:1","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/allcloud-senior-ml-engineer","json_url":"https://alion.io/job/allcloud-senior-ml-engineer.json","meta":{"generated_at":"2026-10-15T01:39:13Z","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":2276,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":36623},"rest":"https://alion.io/mcp/rest/get_company?id=36623"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallcloud-senior-ml-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%2Fallcloud-senior-ml-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%2Fallcloud-senior-ml-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/allcloud-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallcloud-senior-ml-engineer"}]}