GeorgiaTEK Systems Inc.

Machine Learning Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Lead in New York, NY (Hybrid 2-3 days onsite) for a long-term contract. Requires proficiency in Python, machine learning techniques, and 2+ years in data science. Experience with AWS, TensorFlow, and big data technologies preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Computer Science #Programming #Statistics #Visualization #Azure #NumPy #PyTorch #Big Data #R #Spark (Apache Spark) #PySpark #TensorFlow #Cloud #Datasets #AWS (Amazon Web Services) #Leadership #Pandas #ML (Machine Learning) #GCP (Google Cloud Platform) #Mathematics #Python #Data Science
Role description
Position: Machine Learning Lead Location: New York, NY ( Hybrid 2-3 days onsite) Duration: Long Term Rate: DOE U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time 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 • Bachelors 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, GCP • 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.