{"id":1815228,"url":"https://alion.io/job/random-trees-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":3801016,"name":"Random Trees","domain":"randomtrees.com","url":"https://alion.io/company/random-trees","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Corpus Christi, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":269000,"period":"year","method":"role_country_seniority_unknown","sample_n":2986},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"Vertex AI","optional":false}],"status":"closed","first_seen_at":"2026-10-03T22:27:25Z","employer_posted_date":null,"last_verified_at":"2026-10-04T18:15:40Z","board_verified":false,"closed_at":"2026-10-04T18:15:40Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"RandomTrees is seeking an AI / ML Engineer to develop and support machine learning solutions. The role focuses on AI/ML, GenAI and LLM technologies, MLOps, cloud and data platforms, software engineering, and cross-functional stakeholder collaboration.\n\nSkills\nExcellent verbal and written communication, with the ability to explain complex concepts simply and influence decisions\nStrong grounding in machine learning, deep learning, and\nIncluding RAG and fine-tuning\nHands-on experience with tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML, or Databricks\nStrong programming skills (Python required), plus experience with Docker, Kubernetes, and microservices/API design\nExperience with AWS, Azure, or GCP, and with big data technologies (Spark, Kafka, data lakes/warehouses)\nA track record of working with senior stakeholders, managing expectations, and delivering across teams\n\nCompany Overview\nRandomTrees provide enterprise artificial intelligence solutions. It was founded in 2017, and is headquartered in Houston, Texas, USA, with a workforce of 201-500 employees. Its website is https://www.randomtrees.com/.\n\nCompany H1B Sponsorship\nRandomTrees has a track record of offering H1B sponsorships, with 14 in 2026, 9 in 2025, 14 in 2024, 3 in 2023, 2 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":1374,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-04T00:01:49Z"},{"event":"close","at":"2026-10-04T18:15:40Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/random-trees-ai-ml-engineer","json_url":"https://alion.io/job/random-trees-ai-ml-engineer.json","meta":{"generated_at":"2026-10-05T01:56:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2534,"day_limit":5000,"remaining_today":2466,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}