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 that redefine how organizations extract actionable insights from data.
• The Machine Learning Ops Intern will help architect and scale real-time machine learning systems, building mission-critical dashboards and analytics infrastructure for high-frequency models.
• Responsibilities include developing real-time dashboards, maintaining machine learning pipelines, designing data integration, creating monitoring systems, and developing automated CI/CD pipelines.
• The intern will collaborate with data engineers and machine learning scientists to build systems that scale to millions of data points per second.

Requirements:

• Candidates must have 1+ years of MLOps experience, demonstrating the ability to build and scale machine learning pipelines focused on high-frequency data and real-time model performance.
• Mastery of real-time systems is required, including expertise in building and optimizing dashboards and streaming data pipelines, with hands-on experience in ClickHouse and Redpanda or similar technologies.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is essential, along with the ability to deploy these models in real-time production environments.
• Candidates should have expertise in cloud platforms like AWS or GCP, with experience in deploying and managing machine learning models using tools like SageMaker, Lambda, or EKS.
• Extensive experience in building automated CI/CD pipelines for model deployment using tools such as Jenkins or GitLab CI is necessary.
• Experience with monitoring and alerting tools like Prometheus, Grafana, or CloudWatch is required, along with the ability to implement real-time monitoring for machine learning systems.
• A collaborative mindset and the ability to work across teams in a fast-paced environment are essential.

Benefits:

• The role offers an innovative environment at the forefront of financial innovation, integrating advanced quantitative techniques with traditional financial models.
• Interns will collaborate with some of the brightest minds in the industry, in an environment that values bold ideas and radical solutions.
• The company promotes career development, continuous learning, and work-life balance, providing opportunities for professional growth.
• Interns will work on transformative projects that directly 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.