Zearch are pleased to be assisting in the search for an innovative and creative Machine Learning Engineer/Researcher to join a Series A hyper growth AI company in NYC

In this hybrid role, you will be responsible for both developing and researching cutting-edge machine learning systems. You will work closely with our clients data science team and CEO to study and transform data science prototypes into robust machine learning applications.

Responsibilities:

Study and transform data science prototypes into efficient machine learning models.
Design and develop advanced machine learning systems.
Research and implement appropriate machine learning algorithms and tools.
Develop and deploy machine learning applications according to specified requirements.
Select and preprocess appropriate datasets and determine suitable data representation methods.
Conduct and manage machine learning tests and experiments.
Perform statistical analysis and fine-tuning using test results to optimize model performance.
Train and retrain systems as necessary to ensure continuous improvement.
Extend and enhance existing machine learning libraries and frameworks.
Keep abreast of the latest developments and innovations in the field of machine learning.
Collaborate with cross-functional teams to integrate machine learning solutions into broader business processes.
Design and implement training pipelines using existing machine learning models.
Contribute to the creation of technical documentation and user guides.

Requirements and Skills:

Proven experience as a Machine Learning Engineer, Machine Learning Researcher, or similar role.
Strong understanding of data structures, data modeling, and software architecture.
Deep knowledge of mathematics, probability, statistics, and algorithms.
Proficiency in writing robust code in programming languages such as Python, Java, and R.
Familiarity with popular machine learning frameworks (e.g., Keras, PyTorch) and libraries (e.g., scikit-learn).
Excellent communication skills to effectively convey complex technical concepts.
Ability to work collaboratively in a team environment.
Outstanding analytical and problem-solving skills with a keen attention to detail.
Innovative, creative, and curious mindset, with a passion for continuous learning and improvement.
Bachelor’s degree in Computer Science, Mathematics, or a related field; a Master’s degree is a plus.

Preferred Qualifications:

Experience with designing and implementing training pipelines for machine learning models.
Demonstrated ability to innovate and think creatively in solving complex technical challenges.
Strong research background with the ability to stay current with the latest advancements in machine learning technology.

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