> Markdown version of [/jobs/ext/4315744-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4315744-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Forhyre Llc. - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Computer Programming, Data Structures, R (Programming Language), Python (Programming Language), Machine Learning, Software Architecture, Tensorflow, Software Engineering, Pytorch, Data Representation, Keras, Scikit Learn, Information Technology, Production Code, Machine Learning Operations - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/16_199610af ## About the Role 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., * Proven experience as a Machine Learning Engineer or similar role * Understanding of data structures, data modelling 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 similar field; Master's degree is a plus ## Description * 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