Rq00244 - Data Science Developer - Senior

Job TitleData Science Developer - SeniorMust Haves
Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.
Strong 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
DescriptionThe
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.
#J-18808-Ljbffr