{"id":178694,"url":"https://alion.io/job/azx-senior-ml-engineer-client-solutions","title":"Senior ML Engineer (Client Solutions)","company":{"id":9868,"name":"AZX","domain":"azx.io","url":"https://alion.io/company/azx","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"DuckDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostGIS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"TimescaleDB","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-31T05:52:04Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-17T12:09:46Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"About AZX\nOur mission is to accelerate positive impact in critical industries through AI transformation. We specialize in physics-informed ML and enterprise AI solutions that directly address climate and sustainability challenges.\nWe’re growing quickly and already work with category-leaders in real estate (CBRE), energy (LevelTen Energy), logistics (Flexe) and utilities.\nWe bootstrapped profitably for our first year and are now backed by leading investors focused on AI, climate and energy.\nWe work on challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We’re building our company for long-term success and aim to create the ultimate place to work for those passionate about AI and making a positive impact.\nAbout This Role:\nWe are seeking an ML Engineer who builds ML systems directly inside client environments. Your job starts with the client's actual data spread across multiple systems - and ends with a model running on a schedule inside their environment. You will bring a strong area of expertise, but expect to wear many hats as part of a small team - some DevOps, some infrastructure, some front end and back end - because you are the engineering face of AZX to your client.\nResponsibilities:\nOwn the full ML delivery lifecycle: data discovery and cleaning, modeling, evaluation, deployment into the client environment, scheduling, monitoring, and retraining policy.\n\nBuild forecasting and detection models that hold up against real-world data quality issues (late feeds, revised rows, missing labels).\n\nBacktest and evaluate models honestly enough to stake real operational decisions on them, and defend your precision/recall tradeoffs to the people who bear the cost of false alarms.\n\nDesign systems that distinguish \"no prediction\" from \"wrong prediction,\" so a missing answer reads differently to the end user than an incorrect one.\n\nShip enough product to make the model usable - a FastAPI service, a small React surface, a scheduled job - whatever \"usable capability\" means for that client.\n\nOwn the measurement story: agree on baselines and KPIs before deployment, instrument for monitoring, and deliver a post-deployment readout with attribution limits clearly stated.\n\nMaintain client-facing engineering presence and a feedback loop into the platform team - running discovery, working sessions with client IT/data teams, demos, and surfacing the data shapes and failure modes only visible from inside client data.\n\nCore Qualifications:\n5+ years of shipping applied machine learning to production - forecasting, detection/classification on time series, survival/reliability modeling, or optimization - with an evaluation you defended to someone whose job depended on it.\n\nStrong data engineering skills and willingness to use them: you find, clean, join, and profile data yourself at awkward scale, without a dedicated data team.\n\nRigorous validation discipline - chronological splits, walk-forward validation, as-of correctness, and an instinct to be suspicious of a suspiciously good metric.\n\nEnough software engineering to ship real systems: Python, SQL, tests, Docker, a scheduler, an API or app surface, and monitoring - type-strict, tested, reviewable code, even in a pod of two.\n\nClient-facing capability and the assertion to use it - running discovery, leading demos, and pushing back early and plainly when an ask is wrong, with an alternative already in hand.\n\nJudgment about when ML is the wrong tool, and the willingness to say so to a client who wants AI regardless.\n\nPractical fluency with our core stack - Python 3.12+ (pandas/polars/DuckDB, scikit-learn, statsmodels, gradient boosting), SQL/Postgres (with TimescaleDB/PostGIS for grid work), and time-series feature engineering and validation.\n\nComfort building the surfaces that make a model usable - FastAPI plus enough React/TypeScript to expose results - and deploying it with Docker and basic cloud tooling (Azure/AWS).\n\nWorking fluency with LLMs for the agentic edges of client work (extraction, retrieval) - depth isn't required, but honesty about your actual experience is.\n\nBachelor's Degree; Master's is a Plus\n\nDomain experience in Energy, Utilities, Infrastructure, and Commercial Real Estate is a plus\n\nWhy AZX! \nBe part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.\n\nCompetitive early-stage startup compensation (based on capabilities, experience, and location)\n\nBonus eligibility\n\nHealth insurance with meaningful coverage for dependents\n\nFlexible paid time off\n\nEquity\n\nFully remote culture with a cluster of teammates in Seattle\n\nAdditional Information:\nMust be able to travel 2x/year for company summits\n\nApplicants must be currently authorized to work in the United States on a full-time basis.\n\nWe are unable to sponsor or take over sponsorship of employment visas at this time.\n\nPlease note that our interview process includes a written take-home assignment followed by a live two-hour technical session with our engineering team, so if that format isn't a good fit, we'd ask that you not apply\n\nPlease only apply to a maximum of 2 roles at a time, any applicants who apply to more then 2 roles within a 6 month period will automatically be disqualified\n\nNext Steps:\nIf this job sounds like a great fit but you don’t check ALL of these qualification boxes, we’d still love to hear from you!","description_format":"text","description_chars":5461,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-08-31T09:20:20Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":0.4,"p_active":0.86,"p_room":0.75,"age_days":46,"expected_fill_days":58,"reasons":["seen:46","win:late"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/azx-senior-ml-engineer-client-solutions","json_url":"https://alion.io/job/azx-senior-ml-engineer-client-solutions.json","meta":{"generated_at":"2026-10-17T13:40:52Z","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":18377,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":9868},"rest":"https://alion.io/mcp/rest/get_company?id=9868"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fazx-senior-ml-engineer-client-solutions"},{"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%2Fazx-senior-ml-engineer-client-solutions"},{"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%2Fazx-senior-ml-engineer-client-solutions"},{"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/azx-senior-ml-engineer-client-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fazx-senior-ml-engineer-client-solutions"}]}