{"id":2597399,"url":"https://alion.io/job/photon-aiml-engineer-dallas-tx","title":"AI/ML Engineer- Dallas, TX","company":{"id":3186451,"name":"Photon","domain":"photon.com","url":"https://alion.io/company/photon-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"D","score":45,"open_postings":595,"ghost_share":0.918,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":47000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":47000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Gemini","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GitHub","optional":true},{"name":"LangGraph","optional":true},{"name":"LoRA","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"Transfer Learning","optional":true}],"status":"live","first_seen_at":"2026-01-09T01:41:13Z","employer_posted_date":"2026-01-09","last_verified_at":"2026-10-18T13:41:00Z","board_verified":true,"closed_at":null,"days_open":282,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":282},"description":"We are seeking a highly experienced AI/ML Engineer with strong Python expertise to drive the design and deployment of scalable machine learning and AI systems. In this role, you will architect end-to-end AI/ML solutions, combining classical machine learning, deep learning, and modern LLM-based approaches to solve complex business problems.\nYou will go beyond experimentation and prototype development to build production-grade AI systems that are reliable, scalable, and continuously improving through feedback loops and monitoring.\nThe ideal candidate brings deep expertise in ML system design, strong engineering discipline, and the ability to integrate cutting-edge AI capabilities (including LLMs and Agentic systems) into enterprise-grade applications.\nKey Responsibilities End-to-End ML System Development\nDesign, develop, and deploy scalable ML models and pipelines-from data ingestion and feature engineering to model training, evaluation, and production deployment.\nAdvanced AI Solutioning\nApply a combination of classical ML, deep learning, and LLM-based techniques to solve structured and unstructured data problems across domains.\nLLM & Agentic Integration\nBuild and integrate LLM-powered features, including RAG pipelines, intelligent agents, and workflow automation using modern frameworks.\nModel Lifecycle Management (MLOps)\nEstablish robust MLOps practices including versioning, CI/CD for models, continuous training, monitoring, and drift detection.\nTechnical Requirements Core ML Expertise\nStrong experience across supervised, unsupervised, and deep learning techniques with hands-on implementation in production environments.\nProgramming & Frameworks\nExpert-level Python (NumPy, Pandas, Scikit-learn)\nDeep learning frameworks: TensorFlow / PyTorch\nExperience in building APIs (FastAPI/Flask)\nLLMs & Modern AI Stack\nHands-on experience with LLM frameworks (LangChain, LlamaIndex)\nUnderstanding of prompt engineering, RAG, and vector search systems\nFamiliarity with OpenAI, Gemini, Anthropic models or open-source alternatives\nData & Infrastructure\nExperience with big data tools (Spark, Hadoop)\nStrong SQL skills and working knowledge of data warehouses\nExperience with vector databases (Pinecone, Weaviate, Milvus, Chroma)\nMLOps & Deployment\nExperience with Docker, Kubernetes, CI/CD pipelines\nModel serving frameworks (MLflow, SageMaker, Vertex AI, etc.)\nMonitoring tools for model performance and drift\nSoftware Engineering Best Practices\nStrong understanding of system design, scalability, and clean coding principles\nExperience building production-ready systems (not just prototypes)\nPreferred Qualifications\nExperience with Agentic AI systems and orchestration frameworks (LangGraph, CrewAI, AutoGen)\nKnowledge of fine-tuning techniques (LoRA, QLoRA, transfer learning)\nExperience designing real-time ML systems or recommendation engines\nExposure to multi-modal models (text, image, audio)\nContributions to open-source projects or strong GitHub portfolio\nExperience mentoring junior engineers and leading technical initiatives\nCompensation, Benefits and Duration\nMinimum Compensation: USD 47,000\nMaximum Compensation: USD 166,000\nCompensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.\nMedical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.\nThis position is not available for independent contractors\nNo applications will be considered if received more than 120 days after the date of this post","description_format":"text","description_chars":3611,"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","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-15T07:30:57Z"}],"visa":[],"liveness":{"score":2,"band":"cold","label":"Long shot","p_open":1,"p_active":0.059,"p_room":0.28,"age_days":281,"expected_fill_days":16,"reasons":["conf:3","stale_co","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":47000,"is_top_pay":false},"html_url":"https://alion.io/job/photon-aiml-engineer-dallas-tx","json_url":"https://alion.io/job/photon-aiml-engineer-dallas-tx.json","meta":{"generated_at":"2026-10-18T15:19:22Z","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":21279,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":3186451},"rest":"https://alion.io/mcp/rest/get_company?id=3186451"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fphoton-aiml-engineer-dallas-tx"},{"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%2Fphoton-aiml-engineer-dallas-tx"},{"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%2Fphoton-aiml-engineer-dallas-tx"},{"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/photon-aiml-engineer-dallas-tx\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fphoton-aiml-engineer-dallas-tx"}]}