Job Description
We are looking for a highly capable machine learning engineer to develop, optimize and maintain our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Responsibilities:
·Interact with business counterparts to determine and refine machine learning objectives.
·Designing a robust platform for ML application lifecycle
·Explore and prototype current industry trends and demonstrate applicability/value add to the analytics platform
·Interact with Business teams and assist in productionalizing ML models
·Build monitoring and control check points to identify Drifts and ensure model fitness
·Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
·Transforming data science prototypes and applying appropriate ML algorithms and tools.
·Ensuring that algorithms generate accurate user recommendations.
·Ensuring models are explainable and adopt explainability as a fundamental criteria in model adoption
·Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
·Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
·Developing ML algorithms to analyze huge volumes of historical data to make predictions.
·Running tests, performing statistical analysis, and interpreting test results.
·Documenting machine learning processes.
·Keeping abreast of developments in machine learning.
Requirements:
·Bachelor's/Master's degree in computer science, data science, mathematics, or a related field.
·Bachelor's/Master's degree in data analytics, or similar will be a plus.
·At least two years' experience as a machine learning engineer.
·Advanced proficiency with Python, Java, and R code writing.
·Extensive knowledge of ML frameworks (like Keras or PyTorch), libraries (like scikit-learn), data structures, data modeling, and software architecture.
·In-depth knowledge of mathematics, statistics, and algorithms.
·Superb analytical and problem-solving abilities.
·Great communication and collaboration skills.
·Excellent time management and organizational abilities.
location: New York, New York
job type: Contract
salary: $100.06 - 130.00 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
· Interact with business counterparts to determine and refine machine learning objectives.
· Designing a robust platform for ML application lifecycle
· Explore and prototype current industry trends and demonstrate applicability/value add to the analytics platform
· Interact with Business teams and assist in productionalizing ML models
· Build monitoring and control check points to identify Drifts and ensure model fitness
· Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
· Transforming data science prototypes and applying appropriate ML algorithms and tools.
· Ensuring that algorithms generate accurate user recommendations.
· Ensuring models are explainable and adopt explainability as a fundamental criteria in model adoption
· Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
· Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
· Developing ML algorithms to analyze huge volumes of historical data to make predictions.
· Running tests, performing statistical analysis, and interpreting test results.
· Documenting machine learning processes.
· Keeping abreast of developments in machine learning.
qualifications:
- Experience level:
- Education: Bachelors (required)
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information
