4 Brillio Jobs

Key Skills :

- Gen AI and classic ML (forecasting, optimization, modelling etc..)

- Python/R, TensorFlow, PyTorch, Scikit-learn

- Data Analysis and Feature Engineering

- SQL, Spark, Big Data Technologies

- Cloud Platforms (AWS, Azure, GCP)

- A/B Testing and Statistical Analysis

- Excellent Communication and Collaboration Skills

Key Responsibilities :

Model Development & Implementation :

- Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP).

- Own the end-to-end lifecycle of model development from data exploration and feature engineering to model training, deployment, and monitoring.

Data Analysis & Insights Generation :

- Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities.

- Translate complex data into clear and actionable business insights.

Business Collaboration :

- Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions.

- Communicate findings and model outcomes effectively to technical and non-technical audiences.

Technical Leadership :

- Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques.

- Act as a thought leader, contributing to the strategic roadmap of data science initiatives.

Scalability and Deployment :

- Ensure models are robust, scalable, and integrated with business workflows.

Continuous Improvement :

- Monitor model performance post-deployment and iterate on models to improve accuracy and business value.

- Stay up to date with the latest tools, techniques, and trends in machine learning and data science