Machine Learning Engineer

2 weeks ago


Bengaluru, India TalenTree Full time

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 :- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field.- 3 to 8 years of experience in applied ML and predictive modelling.- Proficiency in Python, NumPy, Pandas, Scikit-learn, and ML libraries like XGBoost or LightGBM.- Experience in building end-to-end ML pipelines and deploying models in production.- Solid understanding of data preprocessing, validation, and feature engineering.- Strong analytical thinking and communication skills for stakeholder interaction.- Exposure to probabilistic modelling, Bayesian inference, or time-series forecasting.- Experience with MLOps tools such as MLflow, Airflow, or Docker/Kubernetes. (ref:hirist.tech)



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