AI / ML Data Engineer

Rosalind Advisors, Inc.; Toronto; On-site; CAD 110,000 - 130,000; Full time

Job summary

Rosalind Advisors, Inc., a biotech-focused hedge fund, is seeking a full-time AI / ML Data Engineer to integrate machine learning into their investment process. This role requires strong Python skills, experience with ML frameworks, and the ability to manage both structured and unstructured data. Candidates should have a Bachelor's Degree in a relevant field and substantial hands-on experience in building AI systems.

Benefits

Healthcare Coverage including Drug Plan and Health Spending Account

Qualifications

• Applicant must upload academic transcripts and aptitude test results if available.
• Native proficiency in English (written and spoken) required.
• Ability to iterate quickly and operate independently.

Responsibilities

• Design, build, and maintain ML models, pipelines, and evaluation frameworks.
• Implement and optimize AI / ML applications with frameworks like PyTorch, TensorFlow.
• Collaborate with investment team to understand real-world requirements.

Skills

Python programming ability

Machine learning fundamentals

Experience with LLMs and NLP pipelines

SQL and data pipeline building

Cloud platforms exposure

Data pipeline orchestration familiarity

Education

Bachelor's Degree in information technology, computer science/engineering or related field

Tools

Airflow

Docker

AWS

GCP

Azure

Job description

Join to apply for the AI / ML Data Engineer role at Rosalind Advisors, Inc.

Join to apply for the AI / ML Data Engineer role at Rosalind Advisors, Inc.

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In order to be considered, please complete the SmoothHiring application process including personality survey. In one PDF file, please compile and upload the following :

• Cover letter explaining how your skills match the job description
• Academic transcripts
• Aptitude test results (if available)

Apply now : https : / / app.smoothhiring.com / candidate / apply-job / ROS0018-E8NZ

About Us

We are a biotech-focused hedge fund founded in 2006. This is an in-office / in-person position based in downtown Toronto.

About the Job

We are expanding our investment process by integrating machine learning and AI systems, and seek a full-time engineer to lead this effort. This role involves developing and deploying AI tools that assist with research, data extraction, analysis, and decision-making across a wide variety of structured and unstructured sources. You will work directly with the portfolio manager and CEO.

We are looking for an engineer who builds working systems, understands their tools deeply, and can operate independently. Strong fundamentals and demonstrable experience matter more than credentials or job titles.

Start date is no later than September 2, 2025.

Job Duties

• Design, build, and maintain ML models, pipelines, and evaluation frameworks
• Build and scale web scraping and data ingestion tools across diverse sources
• Write production-grade Python code to support ML experiments and live tools
• Clean, normalize, and manage structured and unstructured data
• Design and run validation, performance testing, and model monitoring workflows
• Implement and optimize AI / ML applications using frameworks like PyTorch, TensorFlow, and Hugging Face
• Collaborate closely with investment team to understand real-world requirements
• Deliver solutions that integrate with investment workflows

Education

• Bachelor's Degree, information technology, computer science / engineering or related field
• Applicant must upload academic transcripts
• Applicant should upload aptitude test results - e.g., SAT, GRE, MCAT, GMAT, LSAT - if available

Qualification

• Native proficiency in English (written and spoken)

Skill

• Strong Python programming ability
• Mastery of type annotations, testing frameworks, and code versioning
• Machine learning fundamentals (data prep, model selection, validation, overfitting, generalization, etc.)
• Experience with LLMs, embedding models, or NLP pipelines (e.g., vector databases, RAG systems)
• Experience with SQL and building reliable data pipelines
• Ability to iterate quickly with limited direction
• Familiarity with data pipeline orchestration (Airflow, Prefect)
• Exposure to cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI / CD pipelines
• Hands-on experience working with AI hardware (e.g., setting up and managing GPU servers, optimizing model training / inference performance, knowledge of CUDA / GPU memory tuning)

Compensation

We will consider MORE EXPERIENCE CANDIDATES - in which case compensation would be commensurate with experience.

Position Type

Full-Time

Healthcare Coverage including Drug Plan and Health Spending Account

Apply now : https : / / app.smoothhiring.com / candidate / apply-job / ROS0018-E8NZ

Seniority level

Seniority level

Entry level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Investment Management

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