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.
AI Engineer
Location: Bangalore
Reports to: Director AI Engineering
Department: AI Accelerate
About Us: 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 centre of it all. https://foundrydigital.com/
Job Description:
Role Overview: We are looking for a data driven AI Engineer who loves to develop GenAI applications, forecasting, advanced natural language processing solutions for our mining operations. The ideal candidate will work on projects such as predictive forecasting, text processing, Human/AI text detection and text analysis of mining data. This role requires a deep understanding of machine learning and language processing techniques.
Key Responsibilities:
- Model Implementation: Design, build, enhance batch and real-time inference services and tooling that support our ML use cases. Ensure the models are scalable, reproducible, and maintainable. Analyse and understand the idiosyncratic characteristics of mining flow and optimize execution algorithms
- Collaboration: Work with Senior Data Scientist and Product managers to produce mining models and refine existing algorithms. Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teams. Contribute to end-to-end research and implementation of execution algorithms, including idea generation, data collection, cleaning, model development, evaluation and improvement
- Documentation: Maintain thorough documentation for mining model workflows, infrastructure setups, and deployment
- 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.
Requirements:
- Experience: 3-6 years of experience in Data Science, or a related role with a strong focus on machine learning model development and deployment.
- Python: Proficiency in Python for scripting, building, automation, and integrating machine learning models into production environments.
- Strong programming skills in Python and experience with NLP libraries (e.g., NLTK, spaCy, etc.)
- Machine Learning Frameworks: Proficiency in machine learning frameworks such Huggingface, PyTorch, Tensorflow, etc.
- Experience in Research statistical techniques such as time-series methods, stochastic methods, etc.
- Experience with deep learning and LLM models for NLP tasks (e.g., BERT, GPT, GPT)
- Knowledge of text classification, named entity recognition and sentiment analysis
- Problem-Solving: Excellent troubleshooting skills with a proactive approach to resolving
- Version Control: Experience with version control systems, particularly
- Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) and cloud- native tools for managing infrastructure and
- CI/CD Tools: Proficiency with CI/CD tools such as Jenkins, GitLab CI, or
- MLOps Tools: Experience with MLOps frameworks and tools such as MLflow, Kubeflow, or similar.
- Communication: Strong communication skills and the ability to work effectively in a collaborative team
- Collaboration: Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated.
Preferred Qualifications:
- A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field
- 3+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)
- Familiarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life- cycle
- Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
- Familiarity with Python computing stack, MySQL, Snowflake, Airflow
- Hosted models for inference on public clouds like GCP, AWS and/or built micro- services to facilitate event based triggering, feature generation, model inference and downstream
- Good To Have: Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
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.
