{"id":3462820,"url":"https://alion.io/job/cshark-senior-aiops-engineer","title":"Senior AIOps Engineer","company":{"id":1383,"name":"CSHARK","domain":"cshark.com","url":"https://alion.io/company/cshark","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland","Kraków, Poland","Gdańsk, Poland","Warsaw, Poland","Poznań, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":103000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"CUDA","optional":false},{"name":"Edge AI","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false},{"name":"LiteRT","optional":true},{"name":"ONNX","optional":true},{"name":"TensorFlow","optional":true},{"name":"TFLite","optional":true}],"status":"live","first_seen_at":"2026-10-29T13:45:41Z","employer_posted_date":null,"last_verified_at":"2026-10-29T13:45:41Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About the project \nYou will join a CSHARK team delivering a project for our client, a technology company building on-device AI audio and speech products. \nYou will own the platform on which the client trains its AI audio models. You will keep GPU infrastructure efficient, give researchers the tools they need, and support the path from trained model to edge deployment. \nIN SHORT:\n🌎 100% remote or from the office (Wrocław, Bielsko-Biała) - You choose!\n💰 130 - 180 PLN/h\n☑️ B2B contract\n\nYour responsibilities \nOwn and develop the AI training platform: GPU clusters, CUDA environments, Kubernetes and/or Slurm. \n\nSupport PyTorch training workflows at scale. \n\nRun experiment and data tooling such as MLflow, Weights & Biases and DVC. \n\nManage pipelines for large audio datasets. \n\nSupport model export for edge devices. \n\nBuild tools that make researchers faster, and share on-call with the DevOps engineer. \n\nWhat we expect \nSenior-level experience in MLOps / AIOps or ML infrastructure. \n\nHands-on experience with GPU infrastructure and CUDA. \n\nKubernetes and/or Slurm. \n\nExperience with PyTorch training workflows. \n\nExperience with MLflow, W&B, DVC or similar tools. \n\nFluent English. \n\nNice to have \nAudio or speech ML. \n\nModel export and optimisation for edge (ONNX, quantisation, QNN, TFLite). \n\nExperience working closely with research teams. \n\nWhat we offer \nA fully remote role on a long-term project for an international client. \n\nWork on cutting-edge AI technology \n\nA team of experienced engineers and direct contact with the client’s R&D. \n\nStable cooperation with CSHARK, plus support from our delivery and people teams throughout the project. \n\nTech stack\nMLOps\nAIOps\nPyTorch\nKubernetes","description_format":"text","description_chars":1703,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Mobile App Development 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