{"id":2464566,"url":"https://alion.io/job/deploy-alloy-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":4423417,"name":"DEPLOY 2151 Highland Avenue","domain":"deployalloy.com","url":"https://alion.io/company/deployalloy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Huntsville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":199999,"currency":"USD","period":"year","gross":null,"usd_annual":199999},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SBOM","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-10-13T18:13:30Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T06:58:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"DEPLOY's Client's Cyber Works and Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.\nThis is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.\nCore Responsibilities:\nDesign, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.\nBuild LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.\nDevelop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.\nOptimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).\nImplement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.\nConduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.\nContribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.\nMinimum Requirements:\nBachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).\nProven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.\nHands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.\nProficiency in Python and at least one additional language (Java, C++).\nStrong understanding of data structures, data modeling, and software architecture.\nHighlighted Skills & Experience:\nModern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.\nClassic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.\nAI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.\nEdge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.\nPlatform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).\nDomain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).\nContributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.\nUnderstanding of computer security principles and secure software development lifecycle (SSDLC) practices.\nWhy This Role Matters:\nYou'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.\nAbout DEPLOY's Client\nFor the past 43 years, DEPLOY's client has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DEPLOY\"s client provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.\nWhy employees love working for DEPLOY's client\nDEPLOY\"s client is committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:\nCompetitive health, dental and vision insurance with affordable premiums\nFlexible work schedules\nTwo different flexible spending account options\nCompany paid life insurance with options for employee paid additional\nPerformance bonus program\nEducation reimbursement program\nCompany paid personal leave for approved philanthropic activities\nVacation, Sick & Holiday leave\nRobust 401k profit sharing plan\nOpportunities for internal promotions\nEmployee referral incentive program\nRewards and gifts for service anniversaries\nDisability Accommodation for Applicants - DEPLOY's client is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.","description_format":"text","description_chars":5523,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Flexible schedule","Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T18:13:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:4","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":199999,"is_top_pay":false},"html_url":"https://alion.io/job/deploy-alloy-ai-ml-engineer","json_url":"https://alion.io/job/deploy-alloy-ai-ml-engineer.json","meta":{"generated_at":"2026-10-14T09:02:10Z","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":9896,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4423417},"rest":"https://alion.io/mcp/rest/get_company?id=4423417"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeploy-alloy-ai-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%2Fdeploy-alloy-ai-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%2Fdeploy-alloy-ai-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/deploy-alloy-ai-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeploy-alloy-ai-ml-engineer"}]}