Designing and developing AI and ML models: Developing and training machine learning models using Python and ML libraries like TensorFlow, PyTorch, and scikit-learn and working in Image processing.
Data Preprocessing: Preprocessing raw data such as cleaning, filtering, and normalizing data to be used in machine learning algorithms.
Algorithm Development: Developing algorithms for various Machine learning problems such as Classification, Regression, and Clustering.
Identifying and extracting relevant features from raw data that can be used in machine learning algorithms.
Testing and validating the performance of AI and ML models using statistical techniques and measures like cross-validation and confusion matrices.
Deploying and integrating AI and ML models into production environments and maintaining model accuracy.
Collaborating with data scientists, software developers, and business analysts to identify business problems and develop solutions that meet business requirements.
Staying up to date with industry developments: Keeping up-to-date with new machine learning and AI developments and technologies, attending conferences and seminars, and staying abreast of new techniques and algorithms.
Performing other tasks as per the requirements.
Requirements:
Proficiency in programming languages Python and knowledge of machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
Good knowledge of machine learning algorithms such as supervised learning, unsupervised learning, and reinforcement learning.
Experience with deep learning frameworks such as Keras, TensorFlow, and PyTorch.
Strong knowledge of mathematical and statistical concepts, including linear algebra, calculus, and probability.
Data analysis and data preprocessing: Experience with data analysis and data preprocessing tools such as Pandas, Numpy, and SciPy.
Ability to identify and solve complex problems using AI and ML techniques.
Ability to work collaboratively with cross-functional teams and effectively communicate technical concepts to non-technical stakeholders
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