Posted Apr 8, 2026
As a Machine Learning Expert, you will play a crucial role in designing, developing, and deploying AI/ML models to address complex business challenges. Your responsibilities will include:
Developing and implementing machine learning and deep learning models for real-world business use cases. - Performing data cleaning, preprocessing, feature engineering, and model optimization. - Researching, designing, and applying state-of-the-art ML techniques in domains like NLP, Computer Vision, and Predictive Analytics. - Collaborating with data engineers and software developers to ensure seamless deployment of ML solutions. - Deploying ML models to production environments and monitoring performance for scalability and accuracy. - Staying updated with the latest advancements in AI and ML frameworks. Qualifications required for this role include:
B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline. - 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning. - Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. - Solid foundation in mathematics, statistics, algorithms, and probability. - Experience in NLP, Computer Vision, Recommendation Systems, or Predictive Modeling. - Knowledge of cloud platforms (AWS, GCP, Azure) for model deployment. - Familiarity with MLOps tools and practices for lifecycle management. - Excellent problem-solving skills and the ability to work in a collaborative environment. Additional details about the company or work mode were not provided in the Job Description. As a Machine Learning Expert, you will play a crucial role in designing, developing, and deploying AI/ML models to address complex business challenges. Your responsibilities will include:
Developing and implementing machine learning and deep learning models for real-world business use cases. - Performing data cleaning, preprocessing, feature engineering, and model optimization. - Researching, designing, and applying state-of-the-art ML techniques in domains like NLP, Computer Vision, and Predictive Analytics. - Collaborating with data engineers and software developers to ensure seamless deployment of ML solutions. - Deploying ML models to production environments and monitoring performance for scalability and accuracy. - Staying updated with the latest advancements in AI and ML frameworks. Qualifications required for this role include:
B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline. - 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning. - Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. - Solid foundation in mathematics, statistics, algorithms, and probability. - Experience in NLP, Computer Vision, Recommendation Systems, or Predictive Modeling. - Knowledge of cloud platforms (AWS, GCP, Azure) for model deployment. - Familiarity with MLOps tools and practices for lifecycle management. - Excellent problem-solving skills and the ability to work in a collaborative environment. Additional details about the company or work mode were not provided in the Job Description.
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