Data Scientist R
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Data Scientist
Primary Skills
- Classification (Decision Trees SVM) Distance (Hamming Distance Euclidean Distance Manhattan Distance) Forecasting (Exponential Smoothing ARIMA ARIMAX) Great Expectation Evidently AI Hypothesis Testing ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Probabilistic Graph Models Python/PySpark R/ R Studio Regression (Linear Logistic) SAS/SPSS Statistical analysis and computing Tools(KubeFlow BentoML) T-Test Z-Test
Job requirements
- Core Technical Responsibilities (Agentic AI Focus) Build AI agents and copilots using Microsoft Copilot Studio Develop automated workflows using Power Automate / Azure Logic Apps Integrate AI agents with enterprise systems via APIs connectors and Azure services Implement RAG architectures grounding semantic search using Azure OpenAI and Azure Cognitive Search Ensure security governance and responsible AI practices across agent ecosystems Collaborate with architects analysts and business teams to deploy scalable AI solutions Design and build agentic systems from scratch including orchestration memory reasoning and tool-use patterns Hands-on experience working with Microsoft 365 Copilot for enterprise copilots and productivity agents
- Key Responsibilities Consult with clients to understand business needs identifying opportunities where AI specifically LLMs can add value Help prioritize the backlog and define business cases for GenAI-based initiatives Architect and design scalable AI solutions that integrate LLMs and generative AI technologies Lead development of MVPs collaborating with data scientists ML engineers and client stakeholders Work in a multi-geography environment with cross-border technical teams Provide thought leadership on best practices for deploying and scaling AI models in production Guide clients on AI governance data privacy model interpretability and responsible AI practices Drive the design of autonomous AI agents copilots and multi-agent systems for enterprise use cases
- Qualifications Advanced degree in Computer Science Data Science or related field 5 years of experience in AI architecture with strong focus on consulting and LLMs Proven track record in building and deploying large-scale AI models including hands-on experience with LLMs Demonstrated experience in building AI agents and agentic systems from scratch Strong experience with Microsoft Copilot Studio and Microsoft 365 Copilot Knowledge of Azure OpenAI and other common LLM platforms Excellent communication skills to bridge technical solutions with business objectives
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
