Software Engineer (AI/ML)

We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer

responsibilities

include creating machine learning models and retraining systems. To do this job successfully, you need exceptional

skills

in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. 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

Requirements

Proven

experience

as a Machine Learning Engineer or similar role Understanding of data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R 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 a similar field; a Master’s degree is a plus

Benefits

As per Industry Standards

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

Requirements

Proven

experience

as a Machine Learning Engineer or similar role Understanding of data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R 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 a similar field; a Master’s degree is a plus

Benefits

As per Industry Standards