Principal AI and Machine Learning Engineer
INR 2500K-4590K (estimate) Senior-level Full Time
Tasks
- Apply data mining data modeling and natural language processing
- Architect AI systems for scalability performance and reliability
- Conduct research and experiments to evaluate new approaches
- Create executive presentations and technical reports
- Design develop deploy machine learning models and algorithms
- Establish long term design and implementation strategies
- Implement feedback loops and continuous improvement
- Integrate AI solutions with requirements from product and engineering teams
- Lead design review sessions and ensure adherence to best practices
- Lead meetings for progress tracking issue resolution and coordination
- Optimize algorithms using distributed computing and cloud services
- Prepare and clean data for model training and evaluation
- Provide technical leadership and mentor junior engineers
Perks/Benefits
- Career Development Programs
- Health and wellbeing benefits
- Hybrid work
- Inclusion and Diversity support
Skills/Tech-stack
Adversarial Networks | Agile | Artificial Intelligence | C++ | Calculus | Cloud services | Computer Vision | Convolutional Neural Networks | Data Preprocessing | Data Visualization | Data Wrangling | Decision Trees | Deep learning | Dimensionality Reduction | Distributed Computing | Feature Engineering | Feature extraction | Generative Adversarial Networks | Git | Handling Missing Values | Java | Langfuse | Langgraph | Langsmith | Language Processing | Learning operations | Linear Algebra | Machine Learning | Machine Learning Operations | Model Evaluation | Natural Language | Natural Language Processing | Neural Networks | Probability | PyTorch | Python | Random Forests | Recurrent Neural Networks | Reinforcement Learning | Statistics | Supervised Learning | Support Vector Machines | TensorFlow | Testing | Unsupervised Learning | Vector machines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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