Senior Software Development Manager, AI/ML Platform

Autodesk

The Role

Overview

Lead engineering team to design, develop, and deploy AI/ML platform solutions

Key Responsibilities

  • ai/ml architecture
  • platform roadmap
  • code review
  • project management
  • technical guidance
  • team leadership

Tasks

-Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap -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 -Stay updated with the latest advancements in AI/ML technologies -Actively participate in coding, review processes, and problem-solving alongside your team -Drive the design and architecture of scalable, reliable, and efficient AI/ML systems -Lead and mentor a team of engineers in the development and deployment of AI/ML solutions -Manage project timelines and resource allocation to deliver projects successfully -Provide sound technical guidance and drive crucial technology decisions -Ensure adherence to best practices in software development, code quality, and security standards

Requirements

  • python
  • java
  • aws
  • mlops
  • devops
  • ms

What You Bring

-12+ years of experience of software engineering, with at least 3 years of experience in a management role -Ability to inspire, motivate, and guide team members towards achieving project goals -Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders -BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML. (MS preferred) -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 -Knowledge of DevOps practices and tools for CI/CD, automation, and infrastructure as code -Experience building and managing large-scale distributed systems and microservices architecture -Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment -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 -Prior experience in building AI/ML platforms or products from inception to production deployment -Strong leadership skills with a proven track record of building and motivating high-performing engineering teams

The Company

About Autodesk

-Pioneered software for 2D and 3D design, revolutionizing industries. -Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows. -Empowering creators in fields from construction to digital media, enabling more innovative designs. -Develops tools used in iconic projects, from skyscrapers to blockbuster movies. -Pushes the boundaries of design technology, leading the way in artificial intelligence and automation. -Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment. -Cloud-based solutions streamline design processes and foster real-time collaboration across industries. -A leader in 3D design software, with solutions powering projects in every corner of the globe. -Committed to shaping the future of digital design, bringing complex visions to life.

Sector Specialisms

Building Design

Construction

Automotive

Building Product Manufacturing

3D Animation

Architecture

Engineering

Construction Professionals

Mechanical Engineering

Mechanical CAD

Thermal Simulation

Electronic Design Automation

Print Circuit Board Design

Mechanical, Electrical, and Plumbing (MEP)

HVAC

Fabrication

Estimation

Infrastructure

Civil Engineering

Genetic Engineering (Life Sciences)