Remote Machine Learning Ops Intern

Description:

• Blockhouse is focused on real-time machine learning and data engineering, building scalable infrastructure for high-frequency ML models.
• The company aims to redefine how organizations extract actionable insights from data through cutting-edge technology.
• The Machine Learning Ops Intern will help architect and scale real-time machine learning systems.
• Responsibilities include building mission-critical dashboards and analytics infrastructure for high-frequency models.
• The intern will ensure seamless deployment, monitoring, and performance optimization in real-time environments.
• The role involves collaboration with data engineers and machine learning scientists to build systems that can handle millions of data points per second.
• Key responsibilities include developing real-time dashboards, maintaining machine learning pipelines, designing data integration, creating monitoring systems, developing CI/CD automation, and collaborating with elite teams.

Requirements:

• Candidates must have 1+ years of MLOps experience in building and scaling machine learning pipelines focused on high-frequency data.
• Mastery of real-time systems is required, including expertise in building dashboards and streaming data pipelines, with hands-on experience in ClickHouse and Redpanda.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is essential.
• Candidates should have expertise in cloud platforms like AWS or GCP, with experience in deploying machine learning models using tools like SageMaker or Lambda.
• Extensive experience in building automated CI/CD pipelines for model deployment is necessary.
• Experience with monitoring and alerting tools like Prometheus or Grafana is required.
• A collaborative mindset and the ability to work across teams in a fast-paced environment are essential.
• Ideal candidates should have experience with Next.js for dashboards, knowledge of event-driven architectures, familiarity with feature stores, and understanding of data security protocols.

Benefits:

• The role offers an innovative environment at the forefront of financial innovation.
• Interns will collaborate with some of the brightest minds in the industry.
• The company promotes career development, continuous learning, and work-life balance.
• Interns will work on transformative projects that impact the future of financial technology.
• Compensation is equity-only, with in-person perks for NYC-based employees including daily free lunch and weekly company bonding events.