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Senior Machine Learning Engineer

Wisedocs AI

Toronto

On-site

CAD 100,000 - 140,000

Full time

25 days ago

Job summary

Wisedocs AI is seeking a Senior Machine Learning Engineer to enhance their medical document analysis platform. Candidates will work on ML models from data processing to production, focusing on real-time inference and customer needs. This position offers a hybrid work model and significant career development opportunities within a fast-paced team environment.

Benefits

Health and dental coverage 100% company paid
Valuable stock options
Generous Paid Time Off
Tuition Assistance
Employee Referral Bonus

Qualifications

  • Experience working across multiple engineering teams.
  • Technical excellence in Machine Learning.
  • Professional working experience with LLMs.

Responsibilities

  • Designing and implementing machine learning models.
  • Developing robust, scalable APIs in Python.
  • Ensuring reliability and scalability of ML systems.

Skills

Machine Learning
Problem Solving
Data Interpretation
Collaboration

Education

Bachelor's or Higher in Relevant Field

Tools

Python
LLMs
APIs

Job description

Join Wisedocs as a Senior Machine Learning Engineer, where you’ll play an important part in next generation of our medical document analysis platform. This role is ideal for someone who wants to build models end to end, from data processing, to paper reading to iterating once in production. You’ll be building models with real-time inference in mind, implement MLOps best practices, focusing on a combination of MultiModal LLM and encoder-based work.

What We Have

We currently have three types of ML systems running in production, an entity classification system, a Custom Reports Generator and a set of Summarization models. Our entity classification has been in production for 4 years and currently processes data asynchronously with a combination of models.

What You’ll Do

  • Lead the rebuild, scaling and innovation of many org wide initiatives
  • Scale our inference and training pipelines to finetune and serve higher volumes of customers
  • Build with a customer focus in mind
  • Improve extraction and summarization techniques across multiple modalities
  • Collaborate with other senior engineers to integrate the ML system into the broader Wisedocs platform.

Responsibilities

As a member of our Engineering team, your primary responsibilities will include :

  • Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents
  • Developing robust, scalable APIs in Python
  • Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.
  • Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.
  • Work with our human in the loop teams to build industry leading evaluations
  • Other duties and responsibilities will be assigned as projects develop, adjust and mature.

Qualifications

  • Experience working across multiple engineering teams to deliver projects
  • Technical excellence in one area of Machine Learning
  • Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations
  • Possess professional working experience with LLMs, RAG, BERT based models.
  • A track record of developing high-quality, maintainable code.
  • Prior experience with transfer learning and finetuning
  • Excellent problem-solving skills in an independent and team setting
  • Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.

What We Offer

  • A hybrid work model, requiring on-site presence at least three times per month (approximate).
  • Modern employee benefits, including health and dental coverage 100% company paid
  • Competitive compensation, with valuable stock options, as we’re still a young company growing very quickly.
  • An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and you thrive there you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.
  • Access to a learning and professional development fund to help you level up your career while you’re working with us. We hope to be an incredible step up for your career if you decide to come and work with us.
  • Company events
  • Generous Paid Time Off
  • Paid Sick Days
  • Casual Dress code
  • Employee Referral Bonus
  • Tuition Assistance
  • Plus, many other Recognition Programs!

What to expect from our Recruitment Process :

Duration : 20-30 minutes

Focus : High level Get-to-Know-You, Culture fit, High level technical expertise and tech stack

Duration : 1 hour

Focus : System design and conceptual

Duration : 1-1.5 hours

Focus : General Coding

Duration : 1 hour

Join our team and be part of a company committed to making a positive impact on the InsureTech and HealthTech industries.

  • Wisedocs AI is an equal opportunity employer and are committed to providing employment accommodation in accordance with AODA. If you require an accommodation, please notify us and we will work with you to meet your needs.
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Machine Learning Engineer • Toronto, ON, Canada

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