We are looking for experienced Machine Learning Engineers with robust hands-on expertise in Python, SQL, machine learning, and data-driven model development. The ideal candidate will have experience working with DataRobot and Databricks Machine Learning to develop, evaluate, and improve machine learning models that support business and analytical objectives.
Key Responsibilities
- Develop and implement machine learning solutions using Python and SQL.
- Work with DataRobot and Databricks Machine Learning for model development and experimentation.
- Apply supervised and unsupervised machine learning techniques to business problems.
- Perform feature engineering, data preparation, and statistical analysis.
- Build and evaluate forecasting and predictive models.
- Validate model performance and support continuous model improvement.
- Analyze datasets to identify patterns, trends, and actionable insights.
- Collaborate with cross-functional teams to translate business requirements into machine learning solutions.
Mandatory Skills
- Strong hands-on experience with Python and SQL .
- Experience with DataRobot .
- Experience with Databricks Machine Learning .
- Knowledge of supervised and unsupervised machine learning .
- Experience in forecasting, feature engineering, and model validation .
- Strong understanding of statistical analysis and machine learning concepts.
Good to Have
- Experience with predictive maintenance or anomaly detection.
- Exposure to classification and regression techniques.
- Experience working with large datasets and data-driven business use cases.
Work Details
- Location: Bengaluru, Karnataka.
- Work arrangement: Work from Office.
- Contract duration: Initial 6 months, with a contract-to-hire arrangement.
- Shift timing: 1:30 PM – 10:30 PM IST.
Interested? If you have relevant experience in Python, DataRobot, Databricks Machine Learning, and model development, we would like to hear from you. Apply through LinkedIn with your updated resume, highlighting your relevant machine learning projects and hands-on experience.