{"id":2267676,"url":"https://alion.io/job/ppcenergyro-middle-machine-learning-engineer","title":"Middle 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":"middle","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":2,"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":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","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: 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.\nAs a Middle Machine Learning Engineer, you will focus on designing, developing and deploying machine learning models that drive impactful business decisions. You will be responsible for building end-to-end pipelines, ensuring that models are production-ready, scalable, and integrated seamlessly into existing systems. Your work will directly influence key business metrics, driving innovation and operational efficiency.\nTogether with us, you have the chance to grow everyday, contributing to energy transition, having the following responsibilities:\nDesign, build, and deploy machine learning models using Python and frameworks such as TensorFlow, PyTorch, ensuring models are robust, scalable, and optimized for performance.\n\nUtilize SageMaker's built-in algorithms and tools to streamline workflows\n\nDevelop and manage big data processing workflows using Apache Spark on AWS EMR. Optimize data processing tasks to handle large-scale datasets efficiently, enabling fast feature extraction and preprocessing for machine learning models.\n\nUtilize Amazon Redshift and S3 for data storage, processing, and analysis\n\nUse MLFlow for experiment tracking, model management, and versioning, and ensure a systematic approach to deploying and monitoring models in production.\n\nUtilize Apache Airflow to schedule and automate data processing tasks and model training workflows.\n\nCollaborate with data engineers to ensure seamless integration of ML models into production environments.\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.\n\n2+ years of experience in machine learning engineering, including demonstrated experience building and deploying machine learning models at scale.\n\nStrong programming expertise in Python and experience with Spark for distributed data processing.\n\nHands-on experience with AWS services (EMR, SageMaker, Redshift, S3) for end-to-end machine learning pipelines.\n\nAbility to write clean, maintainable, and efficient production-level code, adhering to best practices in software engineering (e.g., version control, testing, CI/CD).\n\nExperience using MLFlow or similar tools for managing the machine learning lifecycle (model tracking, versioning, and governance).\n\nFamiliarity with Apache Airflow (or equivalent tools) for managing and automating complex machine learning workflows.\n\nStrong analytical and problem-solving skills.\n\nStrong communication and collaboration skills.\n\nGood English knowledge (upper intermediate level).\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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