{"id":4334252,"url":"https://alion.io/job/teamstation-data-science-nlp-llm-prompt-engineer","title":"Data Science | NLP | LLM Prompt Engineer","company":{"id":2889395,"name":"TeamStation","domain":"teamstation.dev","url":"https://alion.io/company/teamstation","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","BO","CL","CR","CU","DO","EC","SV","GT","HN","NI","PA","PY","PE","PR","UY","VE"],"hiring_countries_total":20,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"GPT-4","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2024-08-15T00:00:00Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T10:08:53Z","board_verified":true,"closed_at":null,"days_open":822,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":822},"description":"At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.\nOur work is about more than just AI-it’s about building the future through collaboration and innovation.\nWe believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.\nJoin the Mission at TeamStation AI!\nWhere do we come from?\nWe are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.\nDo you get fired up about using the latest advancements in large language models (LLMs) and machine learning to solve complex problems?\nIf you're also an engineering whiz who can seamlessly translate those models into real-world applications, then we want to hear from you!\nWe're building a team of passionate innovators who are eager to make a real impact. We're not just looking for someone to crunch numbers - we need a curious mind who constantly asks \"why\" and isn't afraid to explore uncharted territory. We need someone who gets energized by the challenge of turning data insights into tangible solutions.\nAs a Data Scientist, you will be responsible for developing and implementing cutting-edge approaches to analyzing data using Python and GPT4/GPT3.\nYour primary skills will be leveraging LLM models to analyze data. Candidates without LLM and prompt engineering backgrounds will not be considered.\nThe successful candidate will be able to work independently and collaboratively with cross-functional teams to deliver reliable and scalable solutions to our customers. You will be responsible for designing, implementing, and maintaining data pipelines, conducting exploratory data analysis, developing statistical models, and interpreting results.\nIn addition to your technical skills, you will also have excellent communication skills and a passion for working in a fast-paced, dynamic environment. You will be comfortable working with stakeholders to understand their requirements and translating these into actionable insights and solutions.\nKey Responsibilities:\nDevelop and implement Machine Learning algorithms and models using Python and GPT4/GPT3\nDesign, implement, and maintain data pipelines\nConduct exploratory data analysis and develop approaches where output can be verified using standard and advanced LLM-based techniques.\nInterpret results and communicate insights to stakeholders\nCollaborate with cross-functional teams to deliver reliable and scalable solutions\nStay up-to-date with the latest developments in LLMs and apply these to our platform\nRequirements:\nMaster's in a quantitative field (CS, Stats, Data Science, etc.).\nMinimum 2 years of experience applying analytics to solve product or business challenges.\nProficiency in Python, SQL, and database querying.\nAdvanced statistical analysis and modeling using libraries like Pandas, NumPy, and 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