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An innovative firm is seeking a skilled Machine Learning Engineer to develop and deploy cutting-edge models using Python and advanced libraries. This role involves transforming raw data, collaborating with diverse teams, and optimizing models for performance. You will have the opportunity to conduct research on the latest AI/ML techniques, ensuring that solutions remain state-of-the-art. Join a forward-thinking company where your contributions will directly impact the efficiency and effectiveness of machine learning applications in real-world scenarios. If you are passionate about AI and eager to make a difference, this position is perfect for you.
Develop and deploy machine learning models using Python and libraries like TensorFlow, PyTorch, and Scikit-learn to solve complex business problems.
Preprocess and transform raw data into structured formats, ensuring quality input for effective machine learning model training.
Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define machine learning workflows and integrate solutions into production systems.
Evaluate and optimize machine learning models by fine-tuning hyperparameters, improving accuracy, and ensuring models are scalable and efficient.
Conduct research on the latest AI/ML techniques to implement state-of-the-art algorithms, ensuring continuous improvement of solutions.
Monitor and maintain deployed models in production, ensuring optimal performance and troubleshooting issues as needed.
BSCS/ BSIT/ BSSE
Experience: 3 - 4 years
Required Skills
Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, and Scikit-learn.
Strong data processing skills using Pandas, NumPy, and feature engineering techniques.
In-depth knowledge of machine learning and deep learning algorithms, model evaluation, and hyperparameter tuning.
Excellent collaboration and communication skills to work with cross-functional teams and explain complex concepts effectively.