Job Description
Blockhouse's success stems from our pioneering approach to leveraging machine learning and artificial intelligence in financial markets. We are seeking a motivated and organized Technical Project Management Intern to support our ML initiatives from concept through deployment, ensuring technical excellence and alignment with strategic business goals.
Position Overview:
We are looking for a detail-oriented and driven Technical Project Management Intern to assist with the end-to-end lifecycle of machine learning projects. This role offers a unique opportunity to gain experience at the intersection of machine learning, project management, and finance. You will work closely with data scientists, engineers, and business stakeholders to support the delivery of high-quality, production-ready ML models.
Key Responsibilities:
Project Planning and Execution: Support in defining project scope, milestones, deliverables, and timelines for ML initiatives. Help maintain project roadmaps and ensure projects meet deadlines.
Cross-Functional Collaboration: Act as a liaison between data science, engineering, and business teams, ensuring alignment between technical and business goals.
Technical Oversight Support: Assist with monitoring model design, training, and deployment, helping projects meet quality standards and timelines.
Risk Management: Help identify and address potential bottlenecks, supporting the development of strategies to keep projects on track.
Resource Coordination: Coordinate with team members to allocate resources effectively, ensuring smooth project execution.
Performance Tracking: Track and report on project progress using project management tools, ensuring transparency with stakeholders.
Process Improvement: Support efforts to optimize workflows, identifying and implementing process improvements to enhance efficiency.
Stakeholder Communication: Assist with preparing regular updates for senior management, helping translate technical concepts into clear insights for non-technical stakeholders.
Ideal Candidate Profile:
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees or certifications in Project Management are a plus.
Technical Knowledge: Strong understanding of machine learning concepts and model development workflows. Experience with ML tools and frameworks (e.g., TensorFlow, PyTorch, Spark) is preferred.
Agile and Scrum Proficiency: Skilled in agile methodologies and Scrum frameworks, with the ability to lead stand-ups, sprints, and retrospectives effectively.
Project Management Software: Proficient in using project management tools such as Jira, Linear, or similar platforms to plan, track, and report project progress.
Analytical and Problem-Solving Skills: Detail-oriented and analytical, with the ability to manage project dependencies and resolve complex project challenges.
Communication Skills: Outstanding communication skills, able to clearly convey technical concepts and project status across teams and stakeholders.
Adaptability: Comfortable working in fast-paced, dynamic environments, managing multiple priorities and adapting to changing requirements.
Why You Should Join Us:
Hands-On Experience: Gain experience with impactful projects that leverage AI and ML in financial markets.
Learning Environment: Work in a forward-thinking team that values innovation and continuous learning.
Professional Growth: Access to professional development resources and exposure to advanced ML technologies.
Collaborative Culture: Thrive in a supportive and dynamic environment where cross-functional teamwork is celebrated.
Compensation: Receive competitive equity compensation to start, recognizing your contributions to our success.
Work Hours: This is a part-time role requiring 25 -30 hours per week, with flexible remote working options.
For International Candidates:
At Blockhouse, we value talent from around the world and are committed to supporting international employees. As an e-verified company, we assist with CPT/OPT documentation and offer flexible international payment arrangements if needed.
If you’re passionate about project management and eager to gain experience in AI-driven finance, we invite you to join our team. Together, we’ll shape the future of machine learning in financial markets.
댓글