SourcingXPress
Website:
sourcingxpress.com
Job details:
Company: Ecolabs
Website: Visit Website
Business Type: Enterprise
Company Type: Product & Service
Business Model: B2B
Funding Stage: IPO/Public
Industry: Information Technology
Salary Range: ₹ 15-25 Lacs PA
Job Description
Role summary
Senior / Mid-Senior Machine Learning Engineer responsible for building, deploying, and maintaining machine learning models for predictive analytics, classification, and statistical analysis. The role requires
5+ years of experience with Python, ML frameworks, feature engineering, and cloud ML services, and involves end-to-end ownership of ML pipelines and model deployment.
Key Responsibilities
- Develop ML models using scikit-learn, XGBoost, LightGBM, and related frameworks.
- Implement feature engineering pipelines and data preprocessing workflows.
- Conduct exploratory data analysis (EDA) and statistical testing.
- Execute model training, validation, and hyperparameter tuning.
- Build model serving APIs and batch inference jobs.
- Visualize data and model results using matplotlib, seaborn, Tableau.
- Write efficient Python code leveraging Pandas, NumPy, and Jupyter notebooks.
- Work with SQL databases for data extraction and transformation.
- Collaborate in an Agile methodology environment.
- Use cloud ML services for model training and deployment.
- Manage code with Git version control
Required Expertise
- Programming: Python (3+ years), Pandas, NumPy, Jupyter notebooks
- ML Frameworks: scikit-learn, XGBoost, LightGBM
- Data Analysis: EDA, feature engineering, statistics, probability
- Data Visualization: matplotlib, seaborn, Tableau
- Databases: SQL
- Model Deployment: APIs, batch inference jobs, cloud ML services
- Workflow & Collaboration: Agile methodology, Git version control
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