What are the responsibilities and job description for the Machine Learning Engineer position at Empower Professionals?
Job Details
Role: Machine Learning Engineer
Locations: New York, NY (Hybrid Onsite)
Duration: 12 Months Contract
Note:
- In person interview required with the end client (Location: New York, NY).
- Candidate needs to be in the office 3 Days every week. Local or candidates from Nearby states only.
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.
Must Have Skills:
- Pyspark
- Pytorch
- Gen AI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
