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Internship

Machine Learning Ops Intern

Confirmed live in the last 24 hours

Blockhouse

Blockhouse

11-50 employees

Financial Services
Fintech

New York, NY, USA

Candidates must attend standup meetings at 10am EST.

Category
Applied Machine Learning
AI & Machine Learning
Operations & Logistics
Required Skills
Python
Tensorflow
Git
Pytorch
AWS
Data Analysis
Google Cloud Platform
Requirements
  • 1+ Years of MLOps Experience: Demonstrable experience in building and scaling machine learning pipelines with a focus on high-frequency data and real-time model performance.
  • Mastery of Real-Time Systems: Expertise in building and optimizing real-time dashboards, streaming data pipelines, and infrastructure for high-throughput, low-latency environments. Hands-on experience with ClickHouse and Redpanda (or similar technologies) is critical to succeed in this role.
  • Proficiency in Python & ML Frameworks: Deep expertise in Python and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Ability to deploy these models in real-time production environments.
  • Infrastructure & Cloud Expertise: Mastery of cloud platforms like AWS or GCP, with experience deploying and managing machine learning models using tools like SageMaker, Lambda, EKS, or similar.
  • CI/CD & Automation: Extensive experience building automated CI/CD pipelines for model deployment, using tools such as Jenkins, GitLab CI, or equivalent.
  • Monitoring at Scale: Experience with monitoring and alerting tools like Prometheus, Grafana, CloudWatch, or similar, and the ability to implement real-time monitoring for machine learning systems.
  • World-Class Collaboration: A collaborative mindset with the ability to work across teams and drive results in a fast-paced, high-performance environment.
Responsibilities
  • Build Real-Time Dashboards: Develop, design, and optimize real-time dashboards to visualize the performance of high-frequency machine learning models, providing instant insights and decision-making capabilities.
  • High-Frequency Model Pipelines: Build and maintain machine learning pipelines that enable continuous, low-latency model training, serving, and monitoring at scale.
  • Advanced Data Integration: Design and implement seamless data integration between high-frequency models and real-time streaming architectures using Redpanda (or similar technologies) for event-driven processing and ClickHouse (or similar technologies) for OLAP analytics.
  • Real-Time Monitoring & Optimization: Create highly resilient monitoring systems with real-time feedback loops to ensure that machine learning models perform at optimal levels. Automate retraining and performance alerts using state-of-the-art monitoring tools.
  • Cloud Infrastructure & CI/CD Automation: Develop automated CI/CD pipelines for the deployment and lifecycle management of machine learning models on cloud-native infrastructure (AWS, GCP). Focus on creating scalable, robust systems that can handle real-time loads.
  • Collaborate with Elite Teams: Work closely with a team of world-class engineers and data scientists to ensure seamless collaboration between data pipelines, machine learning model development, and production deployments.

Company Stage

N/A

Total Funding

N/A

Headquarters

Oxford, United Kingdom

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-9%
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Simplify's Take

What believers are saying

  • Working at Blockhouse offers the opportunity to be at the forefront of the rapidly growing DeFi sector, which is poised for significant expansion.
  • The company's emphasis on transparency and security can attract a loyal user base, leading to potential long-term success and stability.
  • Blockhouse's open-source projects provide employees with the chance to contribute to widely-used and impactful technologies.

What critics are saying

  • The volatile nature of the cryptocurrency market can lead to financial instability for the company.
  • Regulatory uncertainties surrounding DeFi could pose significant challenges and impact Blockhouse's operations.

What makes Blockhouse unique

  • Blockhouse's unique approach to decentralized finance (DeFi) sets it apart from traditional financial institutions by leveraging blockchain technology for enhanced transparency and security.
  • The company's focus on creating user-friendly interfaces for complex DeFi operations makes it more accessible to a broader audience, unlike many competitors who cater primarily to tech-savvy users.
  • Blockhouse's commitment to open-source development fosters a collaborative environment, encouraging innovation and community trust.