{"id":1993316,"url":"https://alion.io/job/servicelink-data-scientist-information-technology","title":"Data Scientist - Information Technology","company":{"id":2938110,"name":"ServiceLink","domain":"servicelink.com","url":"https://alion.io/company/servicelink","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":156000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":302},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-10-07T07:46:58Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T20:13:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Overview\nAt ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you’ll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision-making through cutting-edge AI technologies.\nThis is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of Plano, TX and be willing to work in-office on a regular basis.\nApplicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.\nA DAY IN THE LIFE\nIn this role, you will…\nBuild and deploy AI Agents and Tools. \nDesign and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.\nDevelop GenAI-based solutions for intelligent data retrieval.\nCollaborate with cross-functional teams-including Data Engineering, Product, and Infrastructure-to ensure secure, scalable, and efficient AI deployments.\nStay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.\nWHO YOU ARE\nYou possess …\nA strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.\nHands-on expertise in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.\nProficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).\nExperience operationalizing AI models using MLOps best practices.\nStrong problem-solving skills and the ability to translate complex technical concepts into actionable insights.\nA collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.\nResponsibilities\nBuild and deploy AI Agents for workflow automation tasks.\nDevelop and fine-tune LLMs for domain-specific applications.\nImplement reinforcement learning algorithms and multi-agent architectures for intelligent automation.\nCreate GenAI-powered solutions for natural language-driven data retrieval and visualization.\nBuild robust MLOps pipelines for model deployment and monitoring.\nCollaborate with stakeholders to align AI solutions with business objectives.\nContinuously research and apply state-of-the-art AI techniques to improve system performance.\nAll other duties as assigned.\nQualifications\nBachelor’s degree in computer science, Engineering, or related discipline.\nProject experience in LLM fine-tuning, reinforcement learning, multi-agent systems, and generative AI.\nStrong programming skills in Python.\nExcellent communication and collaboration skills.","description_format":"text","description_chars":3077,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Mortgage Lending & 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