Senior/Staff Software Engineer, OpenAsset
AI/ML
More information about location
2 days a week in office (Greater London)
Digital asset managment software
Open for applications
Digital asset managment software
21-100 employees
Open for applications
More information about location
2 days a week in office (Greater London)
21-100 employees
Company mission
To empower AEC and real estate firms to showcase their projects, sell with visualization, and win more businesses.
Role
Who you are
- 7+ years of experience in AI/ML engineering, including building and deploying machine learning models in production environments
- 3+ years of technical leadership experience, with a track record of guiding teams through complex AI/ML projects
- Expert proficiency in programming languages such as Python, with a focus on data engineering/science, machine learning, and MLOps workflows
- Deep understanding of AI/ML systems architecture, including experience with distributed systems and large-scale data pipelines
- Strong expertise in deploying and managing AI/ML models in cloud environments, with hands-on experience using AWS services such as Amazon Bedrock, SageMaker, and related tools
- In-depth knowledge of machine learning algorithms and frameworks, including experience with LLMs and fine-tuning pre-trained models
- Experience with microservices architecture and CI/CD pipelines for AI/ML model deployment, ensuring scalability, reusability, and testability
- Proven ability to mentor and guide engineers, fostering growth and technical excellence without formal direct reporting relationships
- Strong collaboration skills, working cross-functionally with Engineering, DevOps, and Product teams to deliver impactful AI/ML solutions
- Experience with Agile/Scrum methodologies, effectively managing sprints and delivering iterative improvements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
What the job involves
- We are looking for a London based Staff Software Engineer - AI/ML to join our talented, dynamic, and rapidly growing global team. We have an in-office requirement of 2 days per week for local employees
- As a Staff Software Engineer - AI/ML, your day-to-day activities will center on technical leadership, effective communication, and a hands-on approach to delivering innovative AI/ML solutions. You’ll play a key role in shaping the success of the AI/ML team and driving impactful outcomes for the company
- You’ll play a key role in shaping the success of the AI/ML team and driving impactful outcomes for the company
- Lead the design, planning, estimation, and coordination of AI/ML initiatives across multiple releases, including model development, data pipelines, and deployment
- Take ownership of the entire lifecycle of AI/ML systems, from experimentation to production, ensuring timely and high-quality delivery
- Partner with Product and Engineering teams to integrate AI/ML capabilities into company-wide projects, addressing cross-functional challenges
- Collaborate with Product, Engineering, DevOps, and other teams to ensure seamless data flow, model deployment, and system integration
- Provide strategic technical guidance on AI/ML frameworks, tools, and best practices that align with the company’s goals
- Research and propose advanced machine learning techniques and cloud-native AI services, including LLMs and Amazon Bedrock, to enhance our capabilities
- Foster a collaborative environment by communicating effectively across technical and non-technical teams
- Mentor and guide team members through code reviews, technical coaching, and knowledge sharing, building a culture of continuous learning
- Proactively identify challenges in AI/ML workflows and propose innovative, scalable solutions
- Define and refine methods and procedures to optimize model performance, system efficiency, and team productivity
- Drive initiatives to improve model accuracy, scalability, and reliability while adhering to privacy, security, and compliance standards
- Take a leading role in addressing issues related to data quality, bias mitigation, and model interpretability with minimal oversight
- Ensure comprehensive documentation of models, algorithms, and system architecture to support team-wide knowledge sharing
- Maintain and enhance AI/ML playbooks and best practices to streamline onboarding and continuous improvement
Salary benchmarks
Our take
OpenAsset is a premier Digital Asset Management solution tailored specifically for the Architecture, Engineering and construction (AEC) sectors. With a track record spanning two decades and a diverse client base of 1,000+, OpenAsset is well-positioned to understand and cater to the unique challenges of these industries.
The problem it addresses is the acute need for an industry-specific solution that can effectively manage the digital assets crucial to AEC professionals. Traditional DAM systems often fall short in this regard, prompting OpenAsset's development to fill this significant gap. Its vision is not just to provide a platform but to inspire individuals through the visualization of the built world, an ambitious goal that sets them apart in the marketplace.
Marked by consistent growth, OpenAsset has strategically partnered with Marlin Equity Partners, a private equity firm, to enhance its sales, technical, and management capabilities. This collaboration is driven by the mounting demand for OpenAsset's B2B SaaS products. Alongside an ongoing focus on team expansion, positioning OpenAsset as a leader in addressing the distinctive needs of the AEC industries, ensuring its place at the forefront of specialized digital asset management.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Work-Life Balance
- Learning & Development Opportunities
- Paid Parental Leave
- Generous Vacation Policy
- 100% Emplpoyee Health Coverage (US)
- Hybrid and Remote Working Options
Company HQ
Midtown South, New York, NY
Leadership
Jason Janicki
(CEO)Jason joined OpenAsset in 2010 as a Senior Account Manager, since then they have been a VP of Customer Success, COO and now CEO. Previously, they spent nearly 4 years at CQ Roll Call Group as a Marketing Manager and Manager of Customer Communications and Training.
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