Ml Engineer

Job description Job Title: Data Scientist Looking for someone with 5-8 years of experience manipulating data sets and building statistical models Desired Skills: Experience using statistical computer languages (R, Python, etc.) to manage data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.). Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders. Experience with Snowflake will be an added advantage. Experience in deployment of machine learning models using cloud technologies. Roles and responsibilities: 1. Work with stakeholders to identify opportunities for leveraging data to drive business solutions. 2. Mine and analyse data from databases to drive optimization and improvement of product development and business strategies. 3. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 4. Develop custom models and algorithms to apply to data sets. 5. Use predictive modelling to increase and optimize customer experiences. 6. Coordinate with different functional teams to implement models and monitor outcomes. 7. Analyse large amounts of information to discover trends and patterns. 8. Build predictive models and machine-learning algorithms. 9. Present information using data visualization techniques . 10. Good to have a knowledge of ML lifecycle and model governance. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Machine Learning RPython