{"id":2080219,"url":"https://alion.io/job/tradingview-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":14862,"name":"TradingView","domain":"tradingview.com","url":"https://alion.io/company/tradingview","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Limassol, Cyprus"],"countries":["CY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-09-07T20:25:02Z","employer_posted_date":null,"last_verified_at":"2026-09-07T20:25:02Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Limassol, Tbilisi, Paphos\nWe develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules.\nOur goal is to build reliable ML and AI systems that solve real product problems - from experimentation and prototyping to production integration and continuous improvement.\nResponsibilities\nDesigning and implementing ML and AI modules for various products, from experimentation and prototyping to production integration\n\nBuilding solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation\n\nChoosing and evaluating appropriate approaches - including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods\n\nContributing to the architecture of ML solutions, shaping technical approaches and engineering standards\n\nPreparing and processing data, training models, running A/B tests, and analyzing results\n\nMonitoring and improving model performance, interpreting model behavior and key metrics\n\nEvaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture\n\nCollaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact\n\nWorking with MLOps infrastructure: CI/CD, monitoring, logging, containerization\n\nWhat makes you the perfect fit\n3+ years of experience in ML engineering and building production-ready ML systems\n\nStrong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas\n\nExperience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction\n\nStrong track record of delivering end-to-end ML solutions - 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