Job Title Data Science Developer - Senior Must Haves

Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.

Robust hands-on experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services and cloud-based AI solution development.Tech stack: Python, SQL, LLM, Power Automate, VSCode, Git, Jira, Azure (mainly OpenAI, Copilot Studio and Foundry), Databricks.

Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation and ML pipelines, with demonstrated ability to develop solutions that achieve measurable performance.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

Description The

Senior Data Science Developer

will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources.

Key Responsibilities

Design, develop, test, and implement

GenAI applications, intelligent agents, and AI-enabled solutions

for priority business use cases.

Build reusable

AI components, services, APIs, and solution patterns

that can be leveraged across multiple business areas.

Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques.

Integrate AI solutions with enterprise

data sources, applications, APIs, and business workflows .





Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations.

Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions.

Apply software engineering practices including

version control, testing, documentation, CI/CD, monitoring, and performance optimization .

Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions.

Incorporate

Responsible AI, privacy, security, and data governance requirements

into solution design and development.

Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.

Qualifications & Experience

Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent experience.

Significant experience in

AI, machine learning, data science development, or software engineering .

Strong programming skills, particularly

Python and SQL , with experience developing production-quality applications.

Experience developing solutions using

LLMs, GenAI, RAG, AI agents, machine learning, and APIs .

Experience integrating AI solutions with enterprise applications and data platforms.

Knowledge of cloud-based AI platforms, software development practices, APIs, Git, CI/CD, testing, and monitoring.

Understanding of

prompt engineering, model evaluation, Responsible AI, security, privacy, and AI governance .

Strong analytical, problem-solving, communication, and collaboration skills.

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📌 Data Science Developer - Senior (Winnipeg)
🏢 FlexStaf IT
📍 Winnipeg