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 6-8yrs 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:

• Bachelor’s or Master’s 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.