{"id":2113063,"url":"https://alion.io/job/link-group-ai-engineer-7","title":"AI Engineer","company":{"id":3913591,"name":"Link Group","domain":"linkgroup.pl","url":"https://alion.io/company/link-group-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":20000,"max":24000,"currency":"PLN","period":"month","gross":null,"usd_annual":73680},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-09-16T22:01:49Z","employer_posted_date":null,"last_verified_at":"2026-09-16T22:01:49Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"At Link Group, we specialize in building tech teams for Fortune 500 companies and some of the world's most exciting startups. Our mission is to connect talented professionals with opportunities that align with their skills, interests, and career aspirations.\n\nWe are currently looking for an AI Engineer to join our team and work on innovative, cutting-edge artificial intelligence projects for global clients.\n\nAbout the Project\nThe project involves developing AI-powered solutions for the finance/stock exchange industry, focusing on predictive analytics, data-driven decision-making, and advanced automation. You will work on leveraging state-of-the-art machine learning and deep learning technologies to create impactful solutions.\n\nTech Stack\n\nPython (NumPy, Pandas, TensorFlow, PyTorch)\n\nMachine Learning frameworks (Scikit-learn, XGBoost)\n\nNatural Language Processing (NLP) tools\n\nCloud platforms (AWS, Azure, GCP)\n\nBig Data technologies (Hadoop, Spark)\n\nDocker, Kubernetes\n\nWhat We Offer\n\nTailored opportunities to match your professional interests and goals.\n\nA leadership role in a dynamic and collaborative work environment.\n\nAccess to exciting and diverse projects for global clients.\n\nCompetitive compensation aligned with your expertise.\n\nOngoing opportunities for professional growth and development.\n\nIf you're ready to take on a leadership role and work on groundbreaking projects in the IT industry, we'd love to hear from you!\n\nApply today and join us at Link Group to make an impact!\nZakres obowiązków\nDesign, develop, and implement machine learning models and algorithms for real-world problems.\nCollaborate with data scientists and engineers to preprocess and analyze large datasets.\nDeploy AI models into production environments and ensure scalability and performance.\nConduct research on the latest AI trends and technologies to improve solutions.\nDebug, troubleshoot, and optimize AI systems for maximum efficiency.\nCommunicate findings and recommendations to stakeholders effectively.\nWymagania\nMust-Have Qualifications\n\nAt least 3+ years of experience in AI/ML development.\n\nStrong proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\n\nSolid understanding of machine learning algorithms, data preprocessing, and feature engineering.\n\nExperience with deploying AI models in production environments.\n\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.\n\nKnowledge of version control tools like Git.\n\nStrong problem-solving and analytical skills.\n\nGood command of English.\n\nNice to Have\n\nExperience with Natural Language Processing (NLP) tools and techniques.\n\nKnowledge of reinforcement learning or generative AI models.\n\nFamiliarity with Big Data technologies like Hadoop or Spark.\n\nUnderstanding of DevOps practices and CI/CD pipelines for AI/ML workflows.\n\nAcademic background in Computer Science, AI, Data Science, or related fields.\n\nTech stack\nAI\nML\nPython\nTensorFlow\nPyTorch\nscikit-learn\nCloud platform\nGit\nNatural language processing\nGenAI\nBig Data\nHadoop\nSpark\nDevOps\nCI/CD 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