{"id":2267672,"url":"https://alion.io/job/ppcenergyro-junior-machine-learning-engineer","title":"Junior Machine Learning Engineer","company":{"id":2030328,"name":"PPC Energie","domain":"ppcenergy.ro","url":"https://alion.io/company/ppcenergy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"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":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-11T07:02:31Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T07:43:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":": PPC Energy Services\n: Global Digital Solutions\n: Bucharest\n: indefinite period\n#WePowerYourTalent\nThe energy transition happens through people who see their role beyond tasks and understand that what they do has a real impact.\nAt PPC, we contribute every day to a safer and cleaner energy system, from the networks that connect communities, to renewable energy that transforms the energy mix, or solutions that make electric mobility accessible.\nRegardless of the role, our contribution is reflected every day in the communities we serve, in the customers who choose us, and in an energy system that is constantly evolving. We are present across the entire energy value chain and we are looking for motivated people to join us.\nIf you are curious to understand things in depth, responsible for seeing them through to completion, and open to working in a continuously changing environment, then your place is with us.\nWhat you will do\nIn this role, you will have the opportunity to contribute to a purpose greater than daily tasks: making energy safer, more sustainable, and closer to people.\nTogether with us, you have the chance to grow everyday, contributing to energy transition, having the following responsibilities:\nBuild, train, and deploy machine learning models efficiently with the managed infrastructure and automation capabilities of AWS SageMaker.\n\nUtilize Amazon Redshift and S3 for data storage, processing, and analysis.\n\nUtilize Apache Spark and Airflow for large-scale data processing and pipeline orchestration.\n\nManage and optimize machine learning workloads on Amazon EMR\n\nCollaborate with data engineers to ensure seamless integration of ML models into production environments.\n\nImplement best practices for model versioning, monitoring, and continuous deployment.\n\nWe want you to join our journey with:\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field - completed or ongoing\n\nUnderstanding of fundamental concepts in machine learning, deep learning, and generative AI, with some hands-on experience through projects, coursework, or internships.\n\nAbility to write clean, maintainable, and efficient code, and familiarity with basic software engineering practices such as version control (e.g., Git).\n\nSolid programming expertise in Python (e.g., NumPy, Pandas, Scikit-learn).\n\nStrong communication and collaboration skills.\n\nGood English knowledge (upper intermediate level).\n\nInnovative & Team player.\n\nWhat we offer you\nA place where you grow, not just work\n· Clear professional and personal development paths\n· Access to courses, mentoring, and coaching programs\n· Role-relevant certifications\n· Real internal mobility opportunities within the PPC Romania Group\nA fair package that reflects your contribution\n· Fixed annual bonus (equivalent of one salary) + performance bonus\n· Meal vouchers worth 45 RON/day and bonuses (Energy Day, Easter, Christmas, etc.)\n· Partial reimbursement of vacation costs (2,400 RON)\n· Additional vacation days + extra days off (birthday, Energy Day)\n· Pillar III pension contribution worth 100 RON\n· Bonus for employee referrals: ranging between 1,800 RON - 7,200 RON gross depending on the role\n· Reimbursement for vision devices up to 700 RON, once every 2 years\n· Voucher for partial compensation of energy consumption\nReal support for your well-being\n· Medical subscription / private insurance\n· Access to Bookster\n· Partner offers\nFlexibility that respects your rhythm\n· Hybrid schedule (office & smart working)\n· Short Friday\nWhat else you should know\nRecruitment process confidentiality\nAt PPC, we respect the confidentiality of every application. Only selected candidates will be contacted for an interview, and all other applications will be stored in our database for a maximum of one year.\nAbout PPC\nWe are leaders in energy in South-East Europe, active in electricity production, distribution, and supply, as well as in developing innovative solutions for a sustainable future. With an installed capacity of 12.4 GW, we supply energy to 8.7 million customers and deliver over 35 TWh annually.\nIn Romania, PPC became a top player following the acquisition of Enel companies in October 2023. 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