Machine Learning-- New York, NY ( Hybrid 2-3 days onsite)
Dice is the leading career destination for tech experts at every stage of their careers. Our client, cyberThink, Inc., is seeking the following. Apply via Dice today!
Job Description:
Analyze large and complex datasets to derive actionable insights and inform business strategies.
Develop and implement advanced machine learning models and algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Communicate findings and recommendations to stakeholders and executive leadership.
Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 2 years of experience in a data science role.
Proficiency in programming languages such as Python or R..
Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
Experience with modern ML frameworks such as PyTorch, TensorFlow
Experience with big data technologies such as PySpark
Experience with ML model training within cloud infra such as Azure, AWS, Google Cloud Platform
Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.
The hourly range for roles of this nature are $40 to 75/hr. Rates are heavily dependent on skills, experience, location and industry.
CyberThink is an Equal Opportunity Employer
Apply Now
Job Description:
Analyze large and complex datasets to derive actionable insights and inform business strategies.
Develop and implement advanced machine learning models and algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Communicate findings and recommendations to stakeholders and executive leadership.
Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 2 years of experience in a data science role.
Proficiency in programming languages such as Python or R..
Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
Experience with modern ML frameworks such as PyTorch, TensorFlow
Experience with big data technologies such as PySpark
Experience with ML model training within cloud infra such as Azure, AWS, Google Cloud Platform
Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.
The hourly range for roles of this nature are $40 to 75/hr. Rates are heavily dependent on skills, experience, location and industry.
CyberThink is an Equal Opportunity Employer
Apply Now