Python Machine Learning Engineer
- Palnar Transmedia
- 3 - 5 years
- Thiruvananthapuram
- 5 months ago
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Job Description
- Design, develop, and implement machine learning models using Python.
- Perform data preprocessing, cleaning, and feature engineering.
- Train and evaluate machine learning models.
- Apply transfer learning techniques to leverage pre-trained models for new tasks.
- Integrate models into production systems.
- Collaborate with cross-functional teams to meet project goals.
- Continuously improve model performance and scalability.
- Document model development processes and findings.
- Bachelors degree in Computer Science, Engineering, or a related field.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Proven experience with Python programming language.
- Strong understanding of statistical and mathematical principles.
- Experience with data handling libraries such as Pandas and NumPy.
- Excellent problem-solving skills.
- Strong communication and teamwork abilities.
- Python (Experience in C++ would be an added advantage)
- TensorFlow
- PyTorch
- Scikit-Learn
- Pandas
- NumPy
- Data Preprocessing
- Model Training
- Statistical Analysis
- Machine Learning
- Transfer Learning
- Deep Learning: Strong mathematical foundation in CNN, RNN, Transformers, and GANs
- Dataset Creation:
- Data collection and annotation
- Dataset Manipulation:
- Transfer learning
- Data transformation and feature engineering
- Model Debugging and Deployment:
- Debugging and deployment strategies
- Model evaluation and validation
- Data visualization
- Computer vision: CNNs, image segmentation, feature extraction, and 3D computer vision
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Palnar TransmediaLocation(s): Thiruvananthapuram+ View Contact
Keyskills: Computer vision deep learning C++ Statistical analysis Machine learning Debugging Data collection Deployment data visualization Python
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