Senior AI/ML Engineer - R01570350

Brillio 2; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Brillio 2 seeks a Senior Data Scientist with 5-8 years of hands-on experience in data science and analytics, including recent exposure to agentic AI solutions. You will translate business challenges into structured problems, develop and monitor OKRs, and transform large datasets for robust modeling.

You will lead cross-functional collaboration with engineering and product, deliver actionable insights through visualization tools, and continuously optimize data science workflows while advocating

Qualifications

• 5-8 years of experience with hands-on data science work
• Ability to translate business challenges into data science problems
• Experience with OKRs and statistical monitoring

Responsibilities

• Translate complex business challenges into structured data science problems with measurable outcomes
• Develop, monitor, and validate OKRs using advanced statistics to deliver insights
• Data wrangling, cleansing, and transformation on large datasets for robust modeling
• Deliver data-driven insights through storytelling and visualization to stakeholders
• Apply design thinking to create analytical solutions and optimize workflows
• Lead modeling iterations, balance performance with efficiency
• Collaborate with engineering and product to implement scalable data science solutions
• Promote data literacy and share best practices across the organization

Skills

Python

R

Statistical modeling

Data visualization

ML algorithms

Feature engineering

Big data

Cloud platforms

MLOps

Agentic AI exposure

Education

Bachelors in CS/Stats

DS/ML certifications

Tools

Tableau

Power BI

Matplotlib

Spark

Hadoop

AWS

Azure

Google Cloud

TensorFlow

PyTorch

Job description

Senior Data Scientist

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

• Bachelor's 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