Description :

We are looking for a skilled Machine Learning Engineer / Predictive Modelling Specialist who can design and build predictive models from scratch and work with large-scale datasets.

The ideal candidate should have strong expertise in machine learning algorithms, statistical modelling, and scalable data processing, with the ability to translate business problems into data-driven solutions.

Key Responsibilities :

- Design, develop, and deploy predictive models and machine learning solutions for complex business problems.

- Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment.

- Work with large-scale structured and unstructured datasets to derive insights and develop modelling features.

- Develop models from scratch using statistical and machine learning techniques.

- Optimize model performance through feature engineering, experimentation, and hyperparameter tuning.

- Collaborate with data engineering teams to support scalable data pipelines and model deployment.

- Monitor model performance and ensure reliability in production environments.

Required Skills & Experience :

- Having 6 to 8yrs of strong experience in Predictive Modelling and Machine Learning.

- Hands-on experience building ML models from scratch.

- Experience handling large datasets and high-volume data processing.

- Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.

- Solid understanding of statistics, model evaluation, and feature engineering.

- Exposure to distributed data processing tools (e.g., Spark) and MLOps/model deployment concepts is a plus.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

- Experience with cloud platforms (AWS, GCP, Azure) or large-scale data platforms.

- Exposure to AI applications, advanced analytics, or deep learning frameworks