Machine Learning Engineer

3 - 8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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.

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.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
  • 3-8 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.
This job was posted by Sumitabh Ghosh from Prana Tree.

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