Sr Data Scientist/Sr Machine Learning Engineer (4)
We are looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize the business' proprietary machine learning models and algorithms.
Duties/Responsibilities:
Design and develop machine learning algorithms and deep learning applications and systems.
Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
Identify differences in data distribution that could potentially affect model performance in real-world applications.
Ensure algorithms generate accurate user recommendations.
Stay up to date with developments in the machine learning industry.
Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
Run machine learning tests and experiments, and document findings and results.
Train, retrain, and monitor machine learning systems and models as needed.
Construct optimized data pipelines to feed machine learning models.
Consult with managers to determine and refine machine learning objectives.
Extend existing machine learning libraries and frameworks.
Additional responsibilities will be expected as the position expands and adapts based on technology and the growing needs of the business.
Required Skills/Abilities:
Impeccable analytical and problem-solving skills.
Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
Familiarity with data structures, data modeling, and software architecture.
Excellent time management and organizational skills.
Desire to learn.
Education & Experience:
Proven experience as a machine learning engineer or similar role
Familiarity with Python, Java, and R
Excellent communication and collaboration skills
Innovative mind with a passion for continuous learning
General knowledge of building machine learning systems
Bachelors degree (or equivalent) in computer science, mathematics, or related field
Apply Now
The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize the business' proprietary machine learning models and algorithms.
Duties/Responsibilities:
Design and develop machine learning algorithms and deep learning applications and systems.
Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
Identify differences in data distribution that could potentially affect model performance in real-world applications.
Ensure algorithms generate accurate user recommendations.
Stay up to date with developments in the machine learning industry.
Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
Run machine learning tests and experiments, and document findings and results.
Train, retrain, and monitor machine learning systems and models as needed.
Construct optimized data pipelines to feed machine learning models.
Consult with managers to determine and refine machine learning objectives.
Extend existing machine learning libraries and frameworks.
Additional responsibilities will be expected as the position expands and adapts based on technology and the growing needs of the business.
Required Skills/Abilities:
Impeccable analytical and problem-solving skills.
Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
Familiarity with data structures, data modeling, and software architecture.
Excellent time management and organizational skills.
Desire to learn.
Education & Experience:
Proven experience as a machine learning engineer or similar role
Familiarity with Python, Java, and R
Excellent communication and collaboration skills
Innovative mind with a passion for continuous learning
General knowledge of building machine learning systems
Bachelors degree (or equivalent) in computer science, mathematics, or related field
Apply Now