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Senior AIML Engineer R
Job Location:
Monthly Salary:
Posted:
4 September 2026 (21 hours ago)
Posted:
Application Deadline:
2 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Scientist
Job requirements
Experience Range: 5 - 8 years of experience including at least 5 years of hands-on work in data science analytics or related fields with recent exposure to agentic AI solutions Key Responsibilities:
- Translate complex business challenges into structured data science problems ensuring alignment with organizational objectives and measurable outcomes
- Develop monitor and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress
- Execute advanced data wrangling cleansing and transformation on large complex datasets to enable robust modeling and analysis
- Deliver impactful data-driven insights through clear data storytelling utilizing visualization tools to communicate findings effectively to stakeholders
- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes
- Lead technical decision-making for modeling iterations optimizing model performance and balancing computational efficiency with business requirements
- Collaborate with cross-functional teams including engineering and product to implement scalable data science solutions that drive business value
- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization
Required Skills:
- Advanced proficiency in Python or R for data wrangling preprocessing and statistical analysis
- Expertise in statistical modeling and validation of performance metrics
- Experience with data visualization tools such as Tableau Power BI or Matplotlib
- Hands-on experience with machine learning algorithms and evaluation metrics
- Strong background in feature engineering and data mining
- Familiarity with big data technologies such as Spark or Hadoop
- Experience with cloud-based data platforms including AWS Azure or Google Cloud
- Knowledge of MLOps practices and deployment pipelines
Preferred Skills:
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Exposure to agentic AI and rapid domain adaptation
- Experience with automation tools and scripting for data workflows
Desired Qualifications:
- Bachelors degree in Computer Science Statistics Mathematics Data Science or a closely related discipline
- Certification in Data Science or Machine Learning from a recognized institution such as Microsoft Certified: Azure Data Scientist Associate or IBM Data Science Professional Certificate
- Relevant coursework or certification in statistical analysis or business analytics
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
