Senior AI/ML Engineer (Artificial intelligence (AI) designer)

Description

About Merakee BI

We are a Canadian pharmacovigilance consultancy based in Mississauga, Ontario. Pharmacovigilance is the only thing we do — safety systems, analytics and dashboards, data migration and extraction, and AI development for drug safety. Our clients are pharmaceutical and biotech safety groups who run regulated systems where every change has to be assessed, approved and evidenced. We are a small team, which means your work ships and you see who it affects.

About the Role

You will own the AI and machine learning side of our delivery work: LLM and agentic systems that read regulatory source documents, summarise and code safety cases, generate report sections, and surface signals in safety data. Twelve months in, you should have production systems running against real client data, with the pipelines, evaluation and guardrails that let a safety team trust the output — and you should be the person we point to when a client asks how the AI actually works.

What You'll Do

•   Design and ship LLM and agentic systems end to end — retrieval-augmented pipelines over regulatory documents, structured extraction, and automated narrative and report-section generation.

•   Build the data layer underneath them: SQL and pipeline work over safety and clinical datasets, with the transformation and quality checks that make model output defensible.

•   Apply machine learning where it beats prompting — classification, coding, anomaly and signal detection over safety data.

•   Own evaluation and guardrails: define how we measure whether a model is right, and build the content-safety and review checkpoints that catch it when it is not.

•   Build the application around the model — APIs, services and enough front-end to put a working tool in a reviewer’s hands.

•   Work directly with our PV consultants and client safety teams to turn domain requirements into systems, and explain technical trade-offs to people who are not engineers.

What We’re Looking For

Required

•   7+ years building and shipping production software, with recent focus on machine learning and AI.

•   Hands-on experience with production LLM systems — RAG, retrieval and chunking strategies, structured output, agent or tool-calling patterns, and prompt evaluation.

•   Strong Python.

•   Strong SQL, and experience building data pipelines over substantial datasets.

•   Full-stack delivery experience — REST APIs and a modern JavaScript framework — enough to build and deploy a working application, not only a model.

•   Experience taking something from prototype to production: deployment, monitoring, and dealing with it when it breaks.

Preferred

•   Background in pharmacovigilance, drug safety, clinical or another regulated domain — or clear appetite to learn one properly.

•   Exposure to safety systems such as Oracle Argus Safety or LSMV, or to E2B, MedDRA or aggregate reporting.

•   Deep learning experience beyond LLM APIs.

•   Distributed data processing (Spark, Hive, Hadoop) or other large-volume pipeline work.

•   Exploratory data analysis and dashboarding — Power BI, Tableau or similar.

•   Experience working inside a validated or audited software process.

How to Apply

Send your CV to info@merakeebi.com with a short note on an AI or ML system you took to production — what it did, and what you had to fix once real users hit it. We read every application and reply either way.

You can apply:
over this website over the phone: 6478541079
over the email: info@merakeebi.com
in person with an our office address

Job Categories: IT - Data Analyst. Job Types: Full-Time. Job expires in 30 days.

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