{"id":2113070,"url":"https://alion.io/job/link-group-ml-developer-engineer","title":"ML Developer/ 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":18500,"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":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Computer Vision","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-16T22:01:48Z","employer_posted_date":null,"last_verified_at":"2026-09-16T22:01:48Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":44},"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 a Machine Learning (ML) Developer/Engineer to join our team and work on innovative AI-driven projects for global clients.\n\nAbout the Project\nThe project involves developing and deploying machine learning models for the finance/stock exchange industry, focusing on predictive analytics, fraud detection, and automated trading strategies. You will work with large-scale datasets and cutting-edge AI frameworks to build intelligent solutions that drive business insights.\n\nTech Stack\n\nProgramming Languages: Python, R, Scala\n\nML Frameworks: TensorFlow, PyTorch, Scikit-learn\n\nBig Data Tools: Spark, Hadoop\n\nCloud Platforms: AWS, GCP, Azure\n\nDatabases: SQL, NoSQL, PostgreSQL, MongoDB\n\nMLOps: Docker, Kubernetes, MLflow, CI/CD pipelines\n\nWhat We Offer\n\nTailored opportunities to match your professional interests and goals.\n\nA dynamic and collaborative work environment.\n\nAccess to exciting and diverse projects for global clients.\n\nCompetitive compensation aligned with your expectations.\n\nOngoing opportunities for professional growth and development.\n\nIf you're ready to take on new challenges 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\nDevelop, train, and optimize machine learning models for real-world applications.\nWork with large-scale structured and unstructured datasets to extract insights.\nDeploy and monitor ML models in production using MLOps best practices.\nCollaborate with data scientists, engineers, and stakeholders to define project requirements.\nImplement and optimize feature engineering and data preprocessing techniques.\nStay up to date with the latest AI/ML trends and technologies.\nWymagania\nMust-Have Qualifications\n\nAt least 3+ years of experience in machine learning development.\n\nProficiency in Python or R, with experience in ML libraries such as TensorFlow, PyTorch, or Scikit-learn.\n\nStrong understanding of machine learning algorithms, deep learning, and statistical modeling.\n\nExperience with big data tools such as Spark or Hadoop.\n\nHands-on experience with SQL/NoSQL databases and data processing pipelines.\n\nKnowledge of MLOps, including model deployment, versioning, and monitoring.\n\nExperience working with cloud platforms (AWS, 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