AI / ML Engineering Tech Lead ( Onsite )
Tasks
- Build features through feature engineering
- Collect, clean, and preprocess large datasets
- Create data visualizations
- Design and implement machine learning algorithms
- Document requirements and align solutions with business goals
- Engage clients to gather requirements
- Evaluate models using performance metrics
- Experiment with multiple model techniques
- Normalize and transform data for modeling
- Optimize models for scalability accuracy and efficiency
- Perform exploratory data analysis
- Present insights with visualization tools and libraries
- Train machine learning models
- Validate models through testing
Perks/Benefits
- Career growth
- Client projects with global teams
- Health and wellness
- Hybrid work environment
- Ongoing learning and development
Skills/Tech-stack
Accuracy | Artificial Intelligence | Computational Efficiency | Data Analysis | Data Normalization | Data Preprocessing | Data Visualization | Data cleaning | Exploratory Data Analysis | Feature Engineering | Machine Learning | Matplotlib | Model Evaluation | Model Training | Power BI | PyTorch | Requirement gathering | Scalability | Seaborn | Tableau | TensorFlow
Education
N/A
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