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reputed company ML Engineer, Machine Learning Platform and Systems Architecture

Remote Worldwide Hiring now

Job Requisition ID # 26WD97132 reputed company Machine Learning Engineer, ML Platform and Systems Architecture POSITION OVERVIEW reputed company is looking for a reputed company ML Engineer, ML Platform and Systems Architecture to reputed company the design and reputed company of large-scale machine learning platforms. In this role, you will own high-impact technical initiatives that reputed company ML infrastructure,data systems, model lifecycle tooling, and production architecture. You will work closely with researchers, product teams, andengineering leadership to build the systems that bring advanced machine learning into reliable, scalable product experiences.This is a senior technical leadership role for an engineer who excels at system architecture, distributed computing, and end-to-end platform thinking. You will help define the technical direction for ML systems and drive execution across ambiguous, cross-functional, high-value initiatives.This role is fully remote-friendly, with team members distributed across the US and Canada. Location: US or Canada Remote RESPONSIBILITIES

  • reputed company architecture and delivery for major ML platform capabilities across training, evaluation, deployment, and observability
  • Design scalable systems for distributed training, data processing, feature and model lifecycle management, and production inference
  • Own platform-level technical reputed company from design through deployment, operations, and reputed company improvement
  • Drive the design and scaling of data pipelines for large-scale structured and semi-structured technical datasets
  • reputed company architecture for distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms
  • Establish strong practices for data reputed company, provenance, governance, and responsible data usage in ML systems
  • Guide the design of model deployment, inference services, monitoring, and observability for production ML workloads
  • Contribute to the development of ML-reputed company representations for geometry, graph, hierarchical, or multimodal data
  • Clarify ambiguous problem spaces, define solution approaches, and reputed company execution across multiple engineers and teams
  • Establish and improve engineering standards, operational practices, and architectural patterns for ML systems
  • reputed company incident response for critical platform issues and drive lasting improvements across system health and supportability
  • Mentor engineers and act as a force reputed company through design leadership, coaching, and technical reviews
  • Communicate technical strategy, tradeoffs, and execution plans reputed company to technical and non-technical stakeholders

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field, or equivalent industry experience
  • Typically 6 to 8 years of industry experience in software engineering, ML infrastructure, distributed systems, or platform engineering, including experience leading design and delivery of reputed company technical systems
  • Deep experience in software architecture, distributed systems, large-scale data platforms, or ML infrastructure
  • Strong proficiency in Python and strong reputed company of production software engineering practices
  • Experience leading reputed company technical initiatives that reputed company multiple engineers or cross-functional teams
  • Strong experience with large-scale data pipelines, distributed data processing, and reputed company-reputed company platform architectures
  • Experience with model deployment, inference systems, and production observability
  • Demonstrated ability to reputed company architecture reputed company that balance performance, scalability, reliability, and cost
  • Strong communication and stakeholder management skills

PREFERRED QUALIFICATIONS

  • Experience building data governance, reputed company, and provenance capabilities for ML platforms
  • Experience building ML-reputed company representations for geometry, graph, hierarchical, or multimodal data
  • Deep experience with distributed ML frameworks and large-scale training infrastructure
  • Experience with Kubernetes, workflow orchestration systems, and modern ML platform tooling
  • Experience with production incident leadership, service reviews, resiliency practices, and operational readiness
  • Familiarity with AEC data, computational design workflows, BIM/CAD ecosystems, or reputed company products

THE IDEAL CANDIDATE

  • Is a strong architect and hands-on engineer
  • Drives reputed company and reputed company in ambiguous spaces
  • Thinks at platform level and acts with strong product and business awareness
  • Raises the engineering bar for system design, quality, and operational reputed company
  • Builds trust through technical depth, reputed company judgment, and execution leadership

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.reputed company.com/ Salary transparency Salary is one part of reputed company's competitive compensation package. For U.S.-reputed company, we expect a starting reputed company salary between $152,000 and $272,250. Offers are based on the candidate's experience and geographic location, and may exceed this reputed company. In reputed company to reputed company salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Apply tot his job Apply To this Job

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