{"id":715134,"url":"https://alion.io/job/incelligent-data-scientist-ai-developer","title":"Data Scientist/ AI Developer","company":{"id":682877,"name":"Incelligent","domain":"incelligent.net","url":"https://alion.io/company/incelligent","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","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":["Nea Smyrni, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CNN","optional":false},{"name":"GAN","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"GNN","optional":true},{"name":"MLFlow","optional":true},{"name":"PyCaret","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true},{"name":"Superset","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2025-05-08T00:00:00Z","employer_posted_date":"2025-05-08","last_verified_at":"2026-11-01T19:20:04Z","board_verified":true,"closed_at":null,"days_open":542,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":542},"description":"We are looking for a bright Machine Learning Engineer to join our growing engineering team in Athens.\nWho We Are\nIncelligent provides software solutions to help large corporations achieve digital transformation through the usage of Big Data and ML-powered Analytics. Our platform enables industrial deployment of AI models as part of integrated predictive analytics solutions for various domains such as Banking/Financial Institutions (Risk, Marketing), Retail (Recommendation), Telecommunications (Forecasting, KPI modelling), Compliance (Image Processing). We also perform research and development activities that involve state-of-the-art ML techniques (e.g. LSTM, CNN, GAN, ODENet, GNN) for our product roadmap.\nWhat You Will Be Doing\nDesign and develop new predictive machine learning and artificial intelligence algorithms for multiple industrial domains\nIntegrate ML models into the production pipeline of our solutions\nAnalyze datasets to identify patterns and extract insights\nVisualize and present dataset findings and features\nRequirements\nMinimum requirements:\nMSc in Artificial Intelligence, Data Science, Statistics or other related fields\nMinimum 3 years of experience in data science/ML using at least one of Python, Scala & Java\nStrong SQL knowledge is required for data probing/preparation\nVerified knowledge of descriptive statistics, correlation analysis and hypotheses testing\nExperience in applied traditional/shallow learning techniques for supervised and unsupervised tasks (scikit-learn, other)\nVerified model tuning experience including model performance analysis, error KPIs and hyperparameter tuning via cross validation techniques\nExperience at least one python deep learning framework for neural networks: TensorFlow, Keras, PyTorch\nIndustrial or academic experience with at least one deep-learning model family (RNN, CNN, GAN, DRL, DBN, etc.)\nKnowledge of code version control via Git\nNice to have:\nPhD in Artificial Intelligence, Data Science, Deep learning or related fields.\nExperience with ML-Ops framework adaptation (e.g. ML-Flow-Tracking, PyCaret)\nKnowledge of data science and data visualization tools (Jupyter, Superset, Zeppelin or other)\nExperience with Big Data - infrastructure & query engines (Spark, HDFS, Hive, Impala, Trino) as well as Big ML tools (e.g. SparkML)\nFamiliarity in deploying ML models as REST APIs (MLFlow Serve, PyCaret, FastAPI)\nFamiliarity with Docker and application packaging\nOther qualifications\nStrong oral and written communication skills\nFluent in English\nNative/ fluent Greek, oral and written\nEagerness to learn modern technologies\nAbility to deliver in time-critical situations in an organized way\nAnalytical capabilities and attitude to problem solving\nTeam motivation\nBenefits\nHighly competitive salary based on your skills, reviewed upwards on a regular basis, based on your performance.\nParticipation in state-of-the-art projects and tech challenges\nPersonal and professional development, amongst industry experts and talented people\nContinuous learning, having access to broad resources for professional and personal development\nFriendly environment and fun team member\nCommitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. 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