SGS Technical Services Pvt. Ltd
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Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location
Location:
Any Location
Description:
Hiring for Machine Learning Engineer for Remote LocationExperience: Total 7+ Years of experience Notice Period: Immediate to 30 daysLocation- RemoteJob Description:Role Summary:We are seeking a Machine Learning Engineer (MLE) who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to work seamlessly with existing models and deploy new models into production.Key Responsibilities:- Develop, optimize, and deploy machine learning models to support project objectives.- Process and analyze large datasets to inform model development and enhancements.- Maintain and improve existing machine learning models within our systems, ensuring they meet our standards for accuracy and performance.- Collaborate with cross-functional teams to integrate machine learning solutions into our operational framework.- Utilize software development tools to maintain a robust, scalable codebase.- Apply a variety of machine learning techniques (e.g., statistics, clustering, classification, outlier analysis) to solve complex problems.- Stay updated with the latest advancements in machine learning and AI.- Experiment with new algorithms and tools to improve current methodologies and processes.- Work closely with data scientists, software engineers, and product managers to integrate machine learning models into applications.- Communicate findings and technical details to both technical and non-technical stakeholders.- Familiarity with software engineering principles, version control systems- Deploy machine learning models into production environments.- Monitor model performance and retrain models as necessary to maintain accuracy over time.- Optimize model hyperparameters and perform cross-validation to ensure robust model performance- Strong problem-solving skills and the ability to work independently as well as part of a teamBasic Qualifications:- Proficiency in Python and knowledge of key machine learning packages such as numpy, pandas, scikit-learn, and xgboost.- Understanding of data structures, data modeling, software architecture, and software development tools, including Git and virtual environments.- Demonstrated ability to apply machine learning techniques to solve real-world problems.- Experience in deploying machine learning models in code and working with existing models.- Strong problem-solving skills and the ability to work independently or as part of a team.Preferred qualifications:- Experience in building and accessing API endpoints.- Cloud computing experience, particularly with AWS.- Experience with deploying open source deep learning models, with a preference for those related to Life Sciences.- Proficiency in Deep Learning frameworks, such as PyTorch.- Experience in building and managing MLOps pipelines (ref:hirist.tech)
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More About this Listing: Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location
Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location is a Engineering Engineer Job at SGS Technical Services located in India. Find other listings like Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location by searching Oodle for Engineering Engineer Jobs.
Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location is a Engineering Engineer Job at SGS Technical Services located in India. Find other listings like Machine Learning Engineer - Python/Numpy/Pandas (7-12 yrs) Any Location by searching Oodle for Engineering Engineer Jobs.