Precision Technologies

ML Engineer with SAS Migration

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer with SAS Migration expertise, located in New York City, NY. The contract is hybrid, requiring local candidates. Key skills include Pyspark, Python, and machine learning experience, with a minimum of 3 years in data science.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Big Data #AWS (Amazon Web Services) #PySpark #SAS #Programming #R #Computer Science #PyTorch #TensorFlow #GCP (Google Cloud Platform) #Data Science #Migration #Azure #Datasets #Cloud #ML (Machine Learning) #NumPy #Pandas #Mathematics #Python #Visualization #Leadership #Spark (Apache Spark) #Statistics
Role description
Role Name: ML Engineering with strong SAS Migration Project-B1-Pyspark-GenAI Local candidates - Client requires face to face interview - Position is Hybrid Location: New York City, NY - Locals only Job Description: β€’ Analyze large and complex datasets to derive actionable insights and inform business strategies. β€’ Develop and implement advanced machine learning models and algorithms. β€’ Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. β€’ Communicate findings and recommendations to stakeholders and executive leadership. β€’ Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: β€’ Proficient in Pyspark, Py-Torch & GenAI, β€’ Experience in Python, Pandas, NumPy, Scikit-Learn β€’ Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. β€’ Minimum of 3 years of experience in a data science role. β€’ Proficiency in programming languages such as Python or R.. β€’ Strong understanding of machine learning techniques and algorithms. Preferred Qualifications: β€’ Experience with modern ML frameworks such as PyTorch, TensorFlow β€’ Experience with big data technologies such as PySpark β€’ Experience with ML model training within cloud infra such as Azure, AWS, GCP β€’ Proven track record of successfully deploying and optimizing ML models in a production environment. β€’ Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders."