Job Title

Title: Machine Learning Engineer Budget : Upto 20 Lacs Experience : 3 to 7 Years Skills : Experience in Deployment Key Responsibilities:  Collaborate with the Analytics Lead, Data Council, and IT teams to develop data-driven solutions  Translate data into actionable insights, communicate them to business stakeholders in an easy language  Design, build, and maintain scalable ELT pipelines for ingesting, transforming and processing data at scale  Experiment with ML algorithms (regression, classification, clustering, LLMs etc) to solve business problems  Transition ML models from prototypes to production, ensuring scalability, reliability and robustness  Deploy and manage AI/ML models on cloud-based platforms like AWS, Azure or Salesforce  Implement MLOps best practices including CI/CD pipelines, version control, model monitoring and retraining to maintain accuracy and performance  Integrate ML outputs into platforms like Bellevie app, Salesforce Screens and reporting dashboards. Qualifications & Skills:  Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.  3-4 years of hands-on experience in data science, machine learning and production deployment of models  Proficiency in Python and relevant libraries (eg. Pandas, Scikit-learn, XGBoost) along with strong SQL skills  Strong understanding of predictive modeling techniques (supervised/unsupervised, clustering, NLP )  Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, Salesforce) with knowledge of MLOps practices like monitoring, version control and CI/CD  Working knowledge of BI tools (Tableau, Power BI) for integrating ML insights into dashboards Title: Machine Learning Engineer Budget : Upto 20 Lacs Experience : 3 to 7 Years Skills : Experience in Deployment