TB
Full time
🤖 AI / ML
ML Engineer at Training Basket
Listed by DevShelfHub
Noida, Uttar Pradesh, India
Hybrid
Mid-level · 1–3 yrs
About the Role
Machine learning engineers who can build and deploy models for real-world business problems are in demand across India's growing tech ecosystem. Training Basket is hiring an ML Engineer in Noida to design, develop, and deploy machine learning solutions.
What you'll do
- Design, develop, and deploy machine learning models for real-world business problems
- Collect, clean, and preprocess large datasets using Python, Pandas, and NumPy
- Perform feature engineering to improve model accuracy and performance
- Build and optimize classification, regression, and clustering models using Scikit-learn
- Conduct data analysis and apply statistical techniques to identify trends
- Train, validate, and evaluate machine learning models using performance metrics
- Write efficient SQL queries to extract, transform, and analyze data
- Develop and integrate REST APIs using FastAPI for model serving
- Deploy machine learning models to cloud platforms and monitor performance
- Implement experiment tracking and maintain model versioning for reproducibility
- Collaborate with data analysts, software developers, and business teams
What we're looking for
- 1–3 years of experience in machine learning engineering
- Python, Scikit-learn, Pandas, NumPy
- Feature engineering, model training, model evaluation
- Classification, regression, and clustering
Skills & Technologies
Required
1–3 years of experience in machine learning engineering
Python, Scikit-learn, Pandas, NumPy
Feature engineering, model training, model evaluation
Classification, regression, and clustering
Statistics and SQL
Git and Docker
REST APIs and FastAPI for model serving
Cloud deployment and experiment tracking experience
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers end-to-end ML engineering experience from data collection through model deployment, with exposure to REST APIs, cloud platforms, and experiment tracking.
- Design, develop, and deploy ML models for real-world business problems
- Collect, clean, and preprocess large datasets using Python, Pandas, and NumPy
- Perform feature engineering to improve model accuracy
- Build classification, regression, and clustering models with Scikit-learn
- Conduct data analysis and apply statistical techniques
- Train, validate, and evaluate models using appropriate metrics
- Write efficient SQL queries for data extraction and analysis
- Develop and integrate REST APIs using FastAPI for model serving
- Deploy models to cloud platforms and monitor performance
- Implement experiment tracking and model versioning
- Collaborate with data analysts, developers, and business teams
About Training Basket
Training Basket is a technology company in Noida focused on building and deploying machine learning solutions for real-world business problems. The company operates in the technology industry with a focus on practical ML engineering and model deployment.
- Industry
- Technology
- Company Size
- 500+
- Website
- trainingbasket.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 1–3 years
- Location
- Noida, Uttar Pradesh, India
- Work Mode
- Hybrid
- Category
- AI / ML
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