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Freelance Machine Learning Quant Jobs in New York

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

Our client is building an equity trading engine powered by machine learning. They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

  • Medical

  • PTO

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

Bloomberg LP

Product Manager - Enterprise Data

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work ...

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Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What are the most commonly searched types of Machine Learning Quant jobs in New York?

The most popular types of Machine Learning Quant jobs in New York are:

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For Freelance Machine Learning Quant jobs in New York, the most frequently searched job titles are:

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Cities in New York with the most Freelance Machine Learning Quant job openings:

Freelance Machine Learning Quant jobs near you

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
ZeroMark, Inc. builds AI-driven counter-drone systems that work in combat. They are seeking a Senior Machine Learning Operations Engineer to design and implement machine learning pipelines, collaborate with software engineers, and mentor junior engineers in a fast-paced environment.
Responsibilities:
• Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
• Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
• Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
• Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
• Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
• Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
Required:
• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
• Technical Skills: Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Technical Skills: Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
• Technical Skills: Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
• Technical Skills: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Technical Skills: Experience with MLOps tools and practices.
• Technical Skills: Experience deploying a variety of edge systems.
• Technical Skills: Experience with TensorRT and other similar technologies.
• Technical Skills: Deep knowledge of C++ and Python.
• Domain Knowledge: Experience or strong interest in defense, aerospace, or related industries is highly desirable.
• Domain Knowledge: Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
• Collaboration & Communication: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Collaboration & Communication: Ability to translate complex technical concepts into clear and concise language.
• Problem-Solving: Strong analytical and problem-solving skills, with a proactive and innovative approach.
• Problem-Solving: Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred:
• Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

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