Principal AI and Machine Learning Engineer
INR 2500K-4590K (estimate) Senior-level Full Time
Tasks
- Apply Computer Vision
- Apply data mining and data modeling
- Apply natural language processing
- Collaborate with cross-functional teams
- Conduct design review sessions
- Deploy machine learning models
- Design AI system architecture
- Design machine learning models
- Develop machine learning algorithms
- Drive continuous improvement
- Establish design and implementation strategies
- Extract insights from datasets
- Implement AI using cloud services
- Implement feedback loops
- Lead meetings and coordinate execution
- Leverage distributed computing
- Optimize algorithms for scalability performance reliability
- Perform data preprocessing and feature engineering
- Prepare executive technical presentations and reports
- Provide technical leadership and mentorship
- Review engineering work and provide feedback
- Train and evaluate models
Perks/Benefits
Skills/Tech-stack
Adversarial Networks | Agile | C++ | Calculus | Cloud Computing | Computer Vision | Convolutional Neural Networks | Data Mining | Data Modeling | Data Quality | Data Wrangling | Deep learning | Dimensionality Reduction | Distributed Computing | Feature Engineering | Generative Adversarial Networks | Git | Java | Language Processing | Linear Algebra | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Neural Networks | Performance Engineering | Probability | PyTorch | Python | Recurrent Neural Networks | Reinforcement Learning | Reliability | Scalability | Scikit-learn | Statistical modeling | Statistics | Supervised Learning | TensorFlow | Testing | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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