Machine Learning Engineer at Halborn

Chicago, Illinois, United States

Halborn Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data ScienceIndustries

Requirements

Candidates must possess a Master's degree or foreign equivalent in Machine Learning, Data Science, Operations Research, or a related field, along with three years of experience as a data engineer developing machine learning workflow systems. Specific experience required includes Python, machine learning frameworks like TensorFlow and PyTorch, Apache Airflow, Azure cloud services, and developing real-time intelligent workflow systems for professional services. Additionally, one year of experience is needed in designing and managing scalable, real-time data pipelines, optimizing machine learning models for high-performance applications, and building adaptive AI frameworks in industry-specific contexts, including developing automation roadmaps and advising on AI solutions in compliance-critical environments.

Responsibilities

The Machine Learning Engineer will collaborate with cross-functional teams to understand business needs and translate them into technical solutions. They will research and implement machine learning and cloud infrastructure best practices, participate in code reviews, document processes, and share knowledge. Responsibilities also include supporting and fine-tuning large language models (LLMs) with the AI team, designing, implementing, and maintaining data pipelines and Azure cloud infrastructure for deploying real-time machine learning models, and developing custom Apache Airflow solutions with optimized DAGs for data process automation and efficiency.

Skills

Python
Machine Learning
TensorFlow
PyTorch
Apache Airflow
Azure
Data Pipelines
Real-time Machine Learning
Cloud Infrastructure

Halborn

Cybersecurity for blockchain and digital assets

About Halborn

Halborn specializes in cybersecurity focused on blockchain technology and digital assets. The firm provides security audits, penetration testing, and consulting services to clients in the digital finance sector, including cryptocurrency exchanges and Decentralized Finance (DeFi) companies. Their services help ensure the security of digital assets and financial infrastructure by addressing the specific security threats associated with blockchain technology. Halborn stands out from competitors due to its deep understanding of both blockchain and traditional financial security, which allows them to offer tailored solutions. The company's goal is to protect businesses from security threats, ensuring the safe operation of digital exchanges and the integrity of smart contract infrastructure.

Miami, FloridaHeadquarters
2019Year Founded
$87.5MTotal Funding
SERIES_ACompany Stage
Cybersecurity, Financial ServicesIndustries
51-200Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Company Equity

Risks

Increased targeting of Bitcoin hot wallets poses risks to Halborn's clients.
AI-powered social media bot farms could introduce new cyber threats.
Ongoing vulnerabilities in smart contracts remain a challenge for Halborn's services.

Differentiation

Halborn specializes in blockchain and digital asset cybersecurity, setting it apart.
The company offers high-level security audits and penetration testing for DeFi clients.
Halborn's expertise in both blockchain and traditional finance security is unique.

Upsides

Growing demand for blockchain security boosts Halborn's market potential.
Partnerships with Tholos and Orion Protocol enhance Halborn's Web3 security reputation.
Tokenized real-world assets present new opportunities for Halborn's security solutions.

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