Machine Learning Engineer

6 days ago

Toronto, Canada Wisedocs AI Full time

Wisedocs is on a mission to make it easy and accessible for any company in the insurance, legal and medical space to understand medical documents quickly using AI (Artificial Intelligence). Every week, we process hundreds of thousands of pages of documents, saving our customers hours and hours of manual processing time, and helping them process medical claims much more quickly.

Join Wisedocs AI as a Machine Learning Engineer, where you will be at the forefront of developing advanced AI/ML capabilities and building V2 of our platform's model serving. This role is ideal for a developer who excels in Python and has an established track record in tackling and developing leading-edge ML solutions, building models with real-time inference, ML Ops and best practices, and a combination of LLM and encoder-based work.

The position is a hybrid model requiring on-site presence 2-3 days/week in Downtown Toronto.

What We Have

We currently have two types of ML systems running in production, an entity classification system and a RAG summarization system. Our entity classification has been in production for 4 years and currently processes data asynchronously with a combination of models.

What You’ll Do

  • Drive the rebuild and re-architecture of our entity classification system to have higher throughput, reliability and observability
  • Design with best practices in mind for growing and evolving company
  • 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, enhancing our platform's decision-making and efficiency.
  • Developing robust, scalable backend services in Python, ensuring seamless integration with our AI/ML components and front-end systems.
  • 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.
  • Staying abreast of the latest developments in AI/ML technologies and Azure services, continually seeking ways to optimize our platform and workflows.
  • Conducting rigorous testing and validation of ML models, ensuring accuracy, efficiency, and alignment with business objectives.
  • Coordinating with cross-functional teams to understand requirements and translate them into effective AI solutions within our platform.
  • Other duties and responsibilities will be assigned as projects develop, adjust and mature.

Qualifications

  • Have a minimum of 3 years of experience in software development, with a strong focus on Python programming.
  • Possess professional working experience with LLMs, RAG, transformers, BERT.
  • Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
  • Should be familiar with recent model developments and frameworks, i.e. LlaMa, Mistral, GLINER, TGI, etc.
  • Proven Machine Learning industry experience, preferably at scale.
  • Prior professional experience with LlamaIndex is preferred.
  • Prior experience with transfer learning and model modifications.
  • Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.
  • 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.
  • Possess good understanding on leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance.

What We Offer 

  • A hybrid work model,
  • Modern employee benefits, including health and dental coverage
  • 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:

  • Round #1 – HR (Quick Prescreen)
    Duration: 20-30 minutes
    Focus: High level Get-to-Know-You, Culture fit, High level technical expertise and tech stack
  • Round #2 - Technical
    Duration: 30-45 minutes
    Focus: Conceptual
  • Round #3 - Technical
    Duration: 1-1.5 hours
    Focus: General Coding
  • Round #4 - Hiring Manager
    Duration: 1 hour
    Focus: Culture fit, experience, high level technical questions

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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