Machine Learning Engineer

As a Machine Learning Engineer at MinoriLabs, you will play a crucial role in developing and implementing machine learning algorithms and models for various applications. Your responsibilities will include: - Developing and implementing machine learning algorithms and models. - Conducting exploratory data analysis to uncover patterns and insights. - Designing and developing machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. - Optimizing machine learning models for performance and scalability. - Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. - Staying up-to-date with the latest advancements in machine learning and deep learning. - Experimenting with new ML techniques and technologies. To excel in this role, you should meet the following qualifications: - Strong programming skills in Python and proficiency in ML frameworks (TensorFlow, PyTorch, Keras). - Experience with data pre-processing, feature engineering, and model selection. - Knowledge of various machine learning algorithms (regression, classification, clustering, etc.) and their applications. - Proficiency in statistical analysis and data visualization. - Experience with cloud platforms (AWS, GCP, Azure) is a plus. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with deep learning architectures (CNN, RNN, LSTM, etc.). - Knowledge of ML Ops and model deployment. - Experience with big data technologies (Hadoop, Spark). If you are passionate about machine learning and want to work in a dynamic environment that fosters innovation, please share your resume with arun.pandian@minorilabs.com. As a Machine Learning Engineer at MinoriLabs, you will play a crucial role in developing and implementing machine learning algorithms and models for various applications. Your responsibilities will include: - Developing and implementing machine learning algorithms and models. - Conducting exploratory data analysis to uncover patterns and insights. - Designing and developing machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. - Optimizing machine learning models for performance and scalability. - Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. - Staying up-to-date with the latest advancements in machine learning and deep learning. - Experimenting with new ML techniques and technologies. To excel in this role, you should meet the following qualifications: - Strong programming skills in Python and proficiency in ML frameworks (TensorFlow, PyTorch, Keras). - Experience with data pre-processing, feature engineering, and model selection. - Knowledge of various machine learning algorithms (regression, classification, clustering, etc.) and their applications. - Proficiency in statistical analysis and data visualization. - Experience with cloud platforms (AWS, GCP, Azure) is a plus. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with deep learning architectures (CNN, RNN, LSTM, etc.). - Knowledge of ML Ops and model deployment. - Experience with big data technologies (Hadoop, Spark). If you are passionate about machine learning and want to work in a dynamic environment that fosters innovation, please share your resume with arun.pandian@minorilabs.com.