Machine Learning Engineer - Predictive Modeling

Description : Role Overview :

We are looking for a Machine Learning Engineer to design, build, and deploy scalable predictive models and ML pipelines. The ideal candidate should have hands-on experience with classical ML algorithms, end-to-end model development, and strong Python programming skills.

Key Responsibilities :

• Develop and optimise predictive ML models using classical algorithms such as XGBoost, Gradient Boosting, Random Forest, and LightGBM.
• Build and maintain end-to-end ML pipelines from data preprocessing, feature engineering, and model training to validation and deployment.
• Apply probabilistic modelling and forecasting techniques (e.g., MCMC, Bayesian models) where relevant.
• Write efficient, reusable, and well-documented Python code for data processing, model integration, and business rule automation.
• Collaborate with stakeholders to translate business requirements into ML solutions.
• Communicate analytical insights through clear visualisations and presentations tailored for non-technical stakeholders.
• Participate in client discussions, requirement gathering, and delivery reviews.

Required Skills & Qualifications :

(ref : hirist.tech)