Machine Learning Engineer

5 days ago


Salem, India MinoriLabs Full time

Company Description MinoriLabs is a digital marketing and Software Services company that offers full-stack digital marketing and software services focused on helping companies realize higher returns on their investment. We help medium and small-sized companies achieve full capability and enable their go to market strategy. By combining the power of capable people, powerful tools, and domain expertise we deliver services that meets global standards. We realize that services is not a one-skill game. It is difficult for all businesses to build and maintain a sufficient bandwidth with diverse skills that are trained on the latest tools and technologies. We leverage our global expertise to help businesses fill this gap and to reinforce their functions. We are funded by a private equity fund with a history of nurturing tech service providers and creating sustainable enterprises. We are head-quartered in the United States of America, and our India office is located in Coimbatore Job Responsibilities: - Develop and implement machine learning algorithms and models for various applications. - Conduct exploratory data analysis to uncover patterns and insights. - Design and develop machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. - Optimize machine learning models for performance and scalability. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Stay up-to-date with the latest advancements in machine learning and deep learning. - Experiment with new ML techniques and technologies. 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). Interested Candidates, Kindly share your resume with .



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