{"id":2579305,"url":"https://alion.io/job/wonder-dynamics-machine-learning-technical-manager-wonder-dynamics","title":"Machine Learning Technical Manager - Wonder Dynamics","company":{"id":48274,"name":"Wonder Dynamics","domain":"wonderdynamics.com","url":"https://alion.io/company/wonder-dynamics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Novi Sad, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":131000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2046},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Blender","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Maya","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Unreal Engine","optional":false}],"status":"live","first_seen_at":"2026-10-15T01:16:42Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T15:52:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nWe are seeking an experienced Machine Learning Technical Lead to join our Management teams in Novi Sad and drive the development and deployment of cutting-edge AI solutions for Autodesk Flow Studio (formerly Wonder Studio), our state-of-the-art AI-powered VFX platform.\nThis role is critical in leading a team of data scientists and machine learning engineers, ensuring the creation of scalable, efficient, and innovative ML models that enhance our platform’s capabilities. You will collaborate closely with engineering, product, and business teams to integrate AI-driven solutions, optimize workflows, and shape the future of AI in VFX. If you are passionate about leading teams, driving AI innovation, and solving complex technical challenges, we’d love to hear from you.\nResponsibilities\nDirect, manage, and oversee the development and deployment of machine learning models, ensuring alignment with business objectives and technical feasibility. \nLead a team of data scientists and machine learning engineers, providing technical mentorship, career development support, and fostering a high-performance culture. \nDevelop and execute machine learning and product strategy, identifying opportunities where AI/ML can drive business value and enhance product offerings. \nOversee project timelines, deliverables, and resource allocation, ensuring machine learning initiatives are executed efficiently and effectively. \nProvide technical oversight on model development, evaluation, deployment, and monitoring, ensuring scalability, reliability, and ethical AI practices. \nCollaborate with product managers, engineers, and business stakeholders to integrate ML solutions into products and services, translating business needs into technical implementations. \nResearch, evaluate, and implement cutting-edge machine learning techniques, tools, and frameworks to enhance model performance and efficiency. \nEnsure compliance with ethical AI principles, data privacy regulations, and responsible AI practices, addressing biases and promoting transparency in ML models. \nMaintain comprehensive documentation of machine learning workflows, model architectures, experiments, and performance metrics for internal reference and stakeholder reporting. \nPartner with infrastructure and engineering teams to optimize ML pipelines, ensuring cost-effective, scalable, and maintainable deployments. \nPromote an environment of continuous learning, collaboration, constructive feedback, and open discussions, enabling productive iteration and team growth. \n Qualifications\nPrevious experience as a Machine Learning Technical Lead, ML Engineer, or Data Science Manager with a strong track record of developing and deploying ML models in production. \nBroad expertise in machine learning, deep learning, and statistical modeling, with hands-on experience in areas such as computer vision, natural language processing (NLP), generative AI, or reinforcement learning. \nExtensive knowledge of the AI/ML landscape, with an emphasis on AI applications in media, entertainment, and design-especially in VFX, animation, or content creation workflows. \nExperience leading and collaborating with cross-functional teams, including software engineers, data scientists, product managers, and business stakeholders, to integrate AI solutions into production environments. \nProven experience in architecting and optimizing ML pipelines, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. \nExperience managing recruitment, training, and mentorship of ML engineers and data scientists, fostering professional growth and technical excellence. \nStrong programming skills in Python (TensorFlow, PyTorch, Scikit-Learn) and experience with ML infrastructure tools (AWS, GCP, Azure, Kubernetes, Docker, MLflow, etc.). \nDeep understanding of ethical AI principles, model bias mitigation, explainability, and compliance with data privacy regulations (GDPR, CCPA, etc.). \nStrong problem-solving and analytical skills, with the ability to break down complex ML challenges into actionable solutions. \nExcellent project management skills, capable of handling multiple ML initiatives, prioritizing effectively, and aligning teams toward shared goals. \nExceptional communication and leadership skills, with the ability to explain ML concepts to non-technical stakeholders and advocate for AI-driven strategies. \nBonus: Experience with real-time AI applications in media production, computer graphics, Unreal Engine, Maya, or Blender for AI-driven VFX workflows. \n Why Should You Consider Joining Us?\nAt the intersection of film and technology, this job offers a unique experience, exposing you to diverse fields spanning from film production and visual effects to AI, machine learning, and computer vision. Operating in state-of-the-art territory means there will always be something new to learn.\nAbout Autodesk\nWelcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.\nWe take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.\nWhen you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!\nSalary transparency\nSalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.\nDiversity & Belonging\nWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. 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