Welcome to Foundry, a cryptocurrency pioneer dedicated to advancing decentralized infrastructure. At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools they need to mine and stake digital assets, we’re thoughtfully driving the industry forward with our team at the center of it all.
If you thrive on innovation, are inspired by the potential of blockchain technology and are passionate about being part of transformative global changes, then we’d love to connect. At Foundry, your skills will find purpose as you contribute to shaping the architecture of a more equitable and interconnected world through blockchain technology. Come be a vital member of the Foundry team, where your contributions will help empower a decentralized future.
Job Description:
Role Overview: We are looking for an MLOps Engineer who excels in managing the deployment, monitoring, and lifecycle of machine learning models while also having strong capabilities in DevOps practices and infrastructure management. The ideal candidate will have hands-on experience with MLOps tools, DevOps methodologies, and infrastructure technologies to ensure seamless and scalable integration of machine learning models into production environments.
Key Responsibilities:
MLOps Implementation: Design and implement MLOps pipelines to automate and streamline the deployment, monitoring, and management of machine learning models. Ensure the models are scalable, reproducible, and maintainable.
- Infrastructure Management: Manage and optimize infrastructure using Terraform and cloud platforms (e.g., AWS, Azure, GCP) to support machine learning workloads. Automate infrastructure provisioning and configuration using tools like
- CI/CD Pipelines: Develop and maintain CI/CD pipelines tailored for machine learning
- Containerization and Orchestration: Use Docker for containerizing machine learning applications and Kubernetes for orchestrating and managing containerized
- Monitoring and Performance: Implement monitoring solutions for machine learning models and infrastructure. Track model performance, detect anomalies, and ensure system
- Collaboration: Work closely with data scientists to understand model requirements and deployment needs. Provide guidance on best practices for model integration and
- Documentation: Maintain thorough documentation for MLOps workflows, infrastructure setups, and deployment
Requirements:
- Experience: 3-6 years of experience in MLOps, DevOps, or a related role with a strong focus on machine learning model deployment and infrastructure
- MLOps Tools: Experience with MLOps frameworks and tools such as MLflow, Kubeflow, or similar.
- DevOps: Experience with DevOps practices and tools, including Terraform for infrastructure as code (IaC), Ansible for configuration management, Docker for containerization, and Kubernetes for
- Infrastructure Knowledge: Strong understanding of infrastructure components and architecture, including networking, storage, and compute resources. Experience with designing and maintaining infrastructure for high availability, scalability, and
- Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) and cloud- native tools for managing infrastructure and applications.
- CI/CD Tools: Proficiency with CI/CD tools such as Jenkins, GitLab CI, or
- Python: Proficiency in Python for scripting, automation, and integrating machine learning models into production environments.
- Monitoring Tools: Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or similar for tracking system health and performance.
- Version Control: Experience with version control systems, particularly
- Problem-Solving: Excellent troubleshooting skills with a proactive approach to resolving
- Communication: Strong communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related
- Certifications: Relevant certifications in cloud platforms (e.g., AWS Certified DevOps Engineer) and Kubernetes.
- Experience with Machine Learning Frameworks: Proficiency with machine learning frameworks and deployments
Please note that employment is contingent upon successful completion of a background check.
WHAT WE OFFER:
- The chance to work in a fast-paced and fun start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact
- Competitive base salary, potential bonus and incentive compensation
- Unlimited PTO / Flexible time off - work with your manager to take time off when you need it
- Professional development budget with flexibility for personal and professional growth
- Outstanding health insurance for employee, partner and dependents
- Life insurance
- Short-term & long-term disability coverage (Not available for India positions)
- 401K plan with company contribution (Bermuda: Private pension plan with company contribution, Not available for India positions)
- Flexible spending programs for medical and dependent care (Not available for Bermuda/India positions)
- Paid parental leave
ENVIRONMENT:
Foundry takes pride in an environment which prioritizes our people. We insist that our people first culture builds the framework for all business operations.
Employees have ample opportunities to voice thoughts, opinions, and ideas through weekly companywide meetings, monthly townhalls, and team outings and events.
We emphasize the importance of each individual through engagement, teamwork, inclusion, and diversity efforts.
Foundry is an Equal Opportunity Employer and embraces diversity. We do not tolerate discrimination or harassment based on race, color, religion, marital status, gender (including pregnancy, childbirth or related medical conditions), gender identity, sexual orientation, parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other non-merit-based factors protected under federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
ABOUT FOUNDRY:
At Foundry, we are working toward a common goal of empowering a decentralized infrastructure. Our team is passionate about the future of finance and is looking for other like-minded individuals who share in this vision. While we are inclusive and diverse in workforce and style, we all agree that digital assets will change the world.
Foundry was created to meet the institutional demand for better capital access, efficiency, and transparency in the digital currency mining and staking industry.
As a Digital Currency Group company, Foundry taps unparalleled institutional expertise, capital, and market intelligence to provide North American bitcoin miners and global manufacturers with the resources to build, maintain, and secure decentralized networks.
Disclaimer
The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
What We Do
Foundry was created to meet the institutional demand for better capital access, efficiency, and transparency in the digital currency mining and staking industry.
As a Digital Currency Group company, Foundry taps unparalleled institutional expertise, capital, and market intelligence to provide North American bitcoin miners and global manufacturers with the resources to build, maintain, and secure decentralized networks.
Foundry empowers miners with the tools they need to build tomorrow’s decentralized infrastructure. We are protocol-agnostic and seek to support like-minded blockchain entrepreneurs who share our mission to advance the industry.
