Machine Learning Engineer

2 years

0 Lacs

Bengaluru, Karnataka, India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

learning data software engineering vision ai python programming architecture probability statistics algorithms keras pytorch communication mathematics design research ml analysis tuning test processing

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview We are seeking a passionate and skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will work closely with our clients and internal teams to develop, implement, and maintain machine learning models that solve real-world problems. Must Have Skills 2+ years of experience into Computer vision and NLP projects. 2+ years of experience in machine learning and Gen AI, data science, or a related field. Strong experience in python programming Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit- learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus Role And Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills:- Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Python, Generative AI, Keras, PyTorch, Scikit-Learn and Data Science Show more Show less

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