Location
Bangalore | India
Job description
NIYOTO TECHNOLOGIES IS A WORLD CLASS ENTERPRISE SPECIALIZED IN ADVISORY AND TECHNOLOGICAL SERVICES HEADQUARTERED IN BANGALORE.
WE ARE SEEKING TO HIRE DATA SCIENTIST WHO WILL WORK CLOSELY WITH SEASONED CONSULTANTS ON A PROJECT BELOW ARE THE OUTLINED RESPONSIBILITIES FOR THE ROLE:
Responsibilities:
- Data Preprocessing and Cleaning:
- Clean and preprocess GPR data to ensure highquality input for machine learning models.
- Handle missing or inconsistent data effectively.
- Feature Engineering:
- Work closely with the Senior Engineer to identify relevant features from GPR data for model development.
- Contribute to the development of new features based on domain knowledge.
- Model Development:
- Assist in building and finetuning machine learning models for underground terrain prediction.
- Implement algorithms under the guidance of the Senior Engineer.
- Collaborate with the team to experiment with different model architectures.
- Evaluation and Validation:
- Conduct model evaluation and validation to ensure robust performance.
- Implement metrics to measure the accuracy and reliability of the models.
- Documentation:
- Document code models and experiments effectively for knowledge sharing and future reference.
- Collaborate with the team to maintain clear and comprehensive documentation.
- Collaboration:
- Work closely with crossfunctional teams including domain experts and software engineers to integrate machine learning models into practical solutions.
- Participate in team discussions and contribute innovative ideas to enhance model performance.
- Learning and Development:
- Stay updated on the latest advancements in machine learning deep learning and GPR technologies.
- Actively engage in continuous learning and skill development.
Requirements:
- Bachelor s or Master s degree in Computer Science Electrical Engineering or a related field.
- Solid understanding of machine learning concepts and algorithms.
- Proficiency in programming languages such as Python.
- Familiarity with deep learning frameworks including TensorFlow and PyTorch.
- Strong problemsolving skills and attention to detail.
- Excellent communication and collaboration skills.
- Basic knowledge of signal processing and GPR technology is a plus.
machine learning,machine learning models,deep learning,algorithms,data,r,python for data analysis,python,models,sql
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