{"id":2585458,"url":"https://alion.io/job/george-bernard-data-scientist-","title":"Data Scientist.","company":{"id":4423584,"name":"George Bernard","domain":"georgebernard.co","url":"https://alion.io/company/georgebernard","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Colombo, Sri 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Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T03:42:37Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T23:06:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Design, build, and deploy scalable production-ready solutions using Large Language Models (LLMs) for automation and advanced AI applications.\nDevelop APIs and containerized web-based applications to integrate AI models into business workflows.\nImplement and manage LLMOps/MLOps pipelines for model deployment, monitoring, and lifecycle management.\nSet up automated workflows for model versioning, performance tracking, drift detection, and continuous evaluation against business KPIs.\nIntegrate observability tools to enable real-time monitoring, system health checks, and compliance management.\nDevelop and maintain data pipelines and CI/CD/CT workflows for model training, evaluation, and real-time inference.\nAnalyze structured and unstructured data to generate insights and support strategic decision-making.\nCollaborate with software engineers, product managers, and business stakeholders to deliver end-to-end AI solutions.\nCommunicate analytical findings and recommendations through reports, dashboards, and presentations.\nWork closely with UK-based teams to ensure smooth collaboration and alignment across time zones.\n\nRequired Skills & Abilities\nStrong programming expertise in Python with focus on clean, maintainable, and scalable code.\nFamiliarity with web frameworks such as Flask, FastAPI, or Django.\nProficiency in containerization and orchestration tools (e.g., Docker, Kubernetes).\nExperience with LLM fine-tuning, prompt engineering, and agent-based AI frameworks.\nHands-on experience with modern GenAI frameworks such as LangGraph or LangChain.\nStrong expertise in data processing using Pandas, NumPy, and SQL.\nExperience working with large-scale data processing frameworks such as PySpark.\nAbility to translate complex business problems into scalable AI-driven solutions.\nStrong communication and collaboration skills, particularly when working with distributed teams.\nAbility to work in fast-paced environments while managing multiple projects simultaneously.\n\nQualifications & Experience\nBachelor's or Master's Degree in Computer Science, Data Science, Statistics, or a related field.\nMinimum 3+ years of experience in software engineering, data science, machine learning, or AI engineering roles.\nHands-on experience developing and deploying Generative AI / LLM applications in production environments.\nExperience implementing containerized deployments and CI/CD pipelines for AI applications.\nExposure to cloud platforms such as Microsoft Azure and Databricks.\nBonus: Experience working with large-scale 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