Futran Solutions

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in New York, NY (Hybrid, 3 days onsite) with a contract length of "unknown" and pay rate of "unknown." Key skills include Python, Gen AI, ML Modeling, SQL, and PyTorch. A Bachelor’s degree and 2 years of data science experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 15, 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, United States
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🧠 - Skills detailed
#Data Science #Pandas #AI (Artificial Intelligence) #TensorFlow #Mathematics #AWS (Amazon Web Services) #R #Programming #Leadership #Statistics #Datasets #Visualization #PySpark #PyTorch #GCP (Google Cloud Platform) #Azure #Python #Computer Science #Cloud #NumPy #ML (Machine Learning) #Spark (Apache Spark) #Big Data #SQL (Structured Query Language)
Role description
Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) 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, 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