{"id":2018153,"url":"https://alion.io/job/autodesk-principal-machine-learning-developer-aiml-platform-2","title":"Principal Machine Learning Developer (AI/ML Platform)","company":{"id":1844521,"name":"Autodesk","domain":"autodesk.co.uk","url":"https://alion.io/company/autodesk-co-uk","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":182000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Go","optional":false},{"name":"Hadoop","optional":false},{"name":"HPC","optional":false},{"name":"Java","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenCL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"TensorBoard","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:01:53Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T06:46:25Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Join Autodesk as a Principal Machine Learning Developer, where you will drive the operational excellence and technical direction of our AI/ML Platform. You will lead the design and engineering of software systems and platform services, implement automated deployment pipelines, and collaborate with cross-functional teams to maintain scalable infrastructure. You will also develop tools for building, deploying, and operating ML artifacts, automate data transformation tasks, and design low-latency prediction services. Additionally, you will enforce security best practices, identify opportunities for process optimization, and take ownership of critical platform components.\nMissions\nDrive the operational excellence and technical direction of the AI/ML Platform by implementing and optimizing MLOps practices across the full machine learning development lifecycle.\nLead the design and engineering of software systems and platform services for the AI/ML Platform, contributing to scalable, secure, and reliable ML development and operations.\nCollaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, data processing, and ML artifact management.\nProfil recherché\n - Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks- Ability to tackle complex technical challenges, analyze potential solutions, and implement the most effective ones\n- Strong communication skills to effectively collaborate with cross-functional teams, along with the ability to work independently\n- Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch) and familiarity with the lifecycle of AI/ML model development, from training to deployment\n- BS or MS in Computer Science, or equivalent practical experience\n- Deep understanding of performance metrics and latency optimization techniques, with the ability to diagnose, tune, and enhance the efficiency of serving systems\n- Experience: 8+ years of experience in software development and engineering, with a solid record of delivering production systems and services\n- A continuous learning mindset to stay updated with the latest trends and technologies in AI/ML, cloud computing, and software engineering\n- Strong coding skills in languages commonly used in AI/ML and system development, such as Python, Java, or Go\n- Experience with big data technologies and ecosystems (Hadoop, Spark, Kafka) for processing and analyzing large datasets in a distributed computing environment\n- Exposure to leveraging GPU computing for AI/ML workloads, including experience with CUDA, OpenCL, or other GPU programming tools, to significantly enhance model training and inference performance\n- Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard)\n- Experience with HPC techniques and technologies for optimizing computational workloads, particularly in the context of AI/ML model training and inference","description_format":"text","description_chars":3045,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Design 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