Engineering Manager
Finite State
AWSCloudDockerGoJavaKubernetesPythonTypeScript
Senior Software Development Manager, AI/ML Platform
Autodesk
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPython
About the role
- Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
- Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
- Provide sound technical guidance and drive crucial technology decisions
- Actively participate in coding, review processes, and problem-solving alongside your team
- Stay updated with the latest advancements in AI/ML technologies
- Drive the design and architecture of scalable, reliable, and efficient AI/ML systems
- Ensure adherence to best practices in software development, code quality, and security standards
- Manage project timelines and resource allocation to deliver projects successfully
- Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
- Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision
Requirements
- BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML. (MS preferred)
- 12+ years of experience of software engineering, with at least 3 years of experience in a management role
- Strong proficiency in programming languages such as Python, Java
- Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
- Experience building and managing large-scale distributed systems and microservices architecture
- Experience building on cloud platforms such as AWS, Azure, or Google Cloud Platform
- Deep understanding of algorithms, data structures, and statistical techniques used in machine learning
- Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
- Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders
- Ability to inspire, motivate, and guide team members towards achieving project goals
Benefits
- Salary 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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
- For positions based in Canada (British Columbia), a base salary between X and X dollars is mentioned (range redacted).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaAI/ML solutionsAWS SageMakerBedrockAzure Machine Learningdistributed systemsmicroservices architecturealgorithmsdata structures
Soft skills
leadershipmentoringcollaborationcommunicationproblem-solvinginnovationcontinuous improvementresource allocationteam motivationtechnical guidance
Certifications
BS in Computer ScienceMS in Computer ScienceEngineering degree