AI/ML Senior Specialist

2 weeks ago

London, Ontario, Canada PetalMD Full time
Petal is a leading Canadian healthcare orchestration and billing company that revolutionizes healthcare systems to make them agile, efficient, and resilient by enabling the forecasting and shaping of world-class healthcare through Healthcare BI, advanced analytics, and informed insights.

Our commitment to fostering an exceptional workplace culture has earned us notable recognitions, including being listed as a Great Place to Work in both the technology and healthcare sectors. Join us in our mission to empower healthcare innovators and improve healthcare differently.

What you can expect when joining the team

Reporting to the Lead Data Platform, you will play a strategic role in the development and integration of artificial intelligence and machine learning (AI/ML) solutions within our organization. Working closely with the product and business teams, you will be responsible for adapting and refining models and solutions based on feedback from the field and operational needs. Your expertise will lay the foundations for optimized consumption of these solutions, both internally and externally.

Your daily life

In your day to day, you will be led to:

1. Deploy innovative AI solutions adapted to the medical sector;
2. Design and operate OCR (optical character recognition) and image analysis tools;
3. Develop conversational agents based on RAG (retrieval-augmented generation) systems and manage the ingestion of various documents in vector databases;
4. Collaborate with development, infrastructure and data platform teams to establish a solid foundation in AI and NLP (natural language processing);
5. Implement and support predictive models consumed in real time.

Your profile

Are you an AI / ML expert, recognized for your ability to innovate and collaborate effectively? Are you looking for an opportunity to contribute to groundbreaking healthcare projects? The sky is the limit If you have :

1. A minimum of 7 years' relevant experience;
2. Expertise in Python for ML: scikit-learn, TensorFlow, PyTorch;
3. Expertise in Python analysis tools: Spark, Pandas, SQL, Matplotlib;
4. Proven skills in NLP and RAG;
5. Experience with LangChain and vector databases;
6. Proficiency in using Docker;
7. Experience in computer vision and document/image processing;
8. Knowledge of MLops (e.g. Mlflow, KubeFlow) - an asset;
9. Experience in CI/CD development with GitLab – asset;
10. Experience in the healthcare sector - an asset;
11. Knowledge of the AI Azure stack - an asset;
12. Mastery of Python APIs (FastAPI, Flask, Django, Azure Functions) - an asset;
13. Experience in LLM fine-tuning an asset;
14. Familiarity with Streamlit – asset;
15. Since you'll be interacting on a regular basis with unilingual English-speaking colleagues outside Quebec, complete mastery of English and French (spoken, written and read) is required.

Petal's position on remote working

In our opinion, a company cannot claim to be modern, innovative and have the well-being of their team at heart, without attempting to integrate remote working to the level that their business model allows them to. Petal employees continue to benefit from the option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations.

Our benefits

- A signing bonus of $1,000 for your remote work set-up;
- Compensation that recognizes your contribution;
- 4 to 6 weeks of paid vacation per year;
- 5 paid personal days per year;
- A group RRSP / DPSP plan with employer contribution;
- A complete group insurance plan, from day 1;
- An annual wellness allowance;
- Access to the Lumino Health telehealth application;
- Flexible work hours and more.

Petal is an active participant in the equal opportunity employment program, and members of the following target groups are encouraged to apply: women, people with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request.

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