{"id":146216,"url":"https://alion.io/job/lingaro-data-scientist-generative-ai","title":"Data Scientist (Generative AI)","company":{"id":53383,"name":"Lingaro","domain":"lingarogroup.com","url":"https://alion.io/company/lingaro","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":86,"open_postings":29,"ghost_share":0,"stale_share":0.552,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":99000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Hugging Face","optional":true},{"name":"OpenAI","optional":true},{"name":"PEFT","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2025-11-19T11:13:35Z","employer_posted_date":"2025-11-19","last_verified_at":"2026-10-16T23:22:18Z","board_verified":true,"closed_at":null,"days_open":331,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":330},"description":"We are looking for Data Scientist to join Lingaro DS&AI Competency Center, AI team to help our clients deliver value with building end-to-end Talk-To-Data (TTD) Solution powered by LLMs & GenAI models. Lingaro AI team focuses on novel aspects of Generative AI and LLMs with range of applications i.e.: RAG, summarization, multi-agent workflows and model fine tuning. Our deep, PhD level expertise with GenAI, NLP and Computer Vision make us great team to join if you are willing to challenge yourself to new heights. We are looking for a long-term engagement in the space of GenAI and related aspects.\nTasks:\nBuild end-to-end GenAI applications such as chatbots, voicebots, Talk-to-Data systems, where you will help buiild: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.\n\nDesign and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.\n\nPerform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing.\n\nDesigning, integrating and optimizing LLMs interaction with external tools, APIs, and data sources in a standardized and scalable way by using Model Context Protocol (MCP) connectors.\n\nBusiness understanding and translating problems into technical goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations.\n\nSupporting project delivery.\n\nSupporting Pre-sales activities and initiatives.\n\nWhat We're Looking For:\nFamiliarity with theory behind various deep learning concepts.\n\nExperience with Machine Learning (ML), especially in Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models.\n\nExperience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.\n\nFluency in Python and object programing, working knowledge of SQL and vector database.\n\nStrong tech stack in Azure or GCP cloud.\n\nKnowledge of specific Deep Learning and GenAI libraries like: PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini.\n\nHands-on experience designing or operating MCP servers/clients for LLM agents.\n\nWhat Will Set You Apart:\nExperience in working with Databricks will be a plus.\n\nCommercial experience proven by multiple successful projects in Generative AI, Natural Language Processing or Computer Vision will be a big plus.\n\nGeneral:\nExperience with microservice architectures.\n\nExperience with code repositories and code assistants.\n\nStrong business acumen.\n\nAbility to come up with creative solutions to address customer problem.\n\nAbility to lead juniors in project team.","description_format":"text","description_chars":2871,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration 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