AI/ML - Data Engineer (Python, Gen AI, ML Modeling)

AI/ML – Data Engineer (Python, Gen AI, ML Modeling)

Location: New York, NY (Hybrid – 3 Days Onsite)

We are seeking an experienced AI/ML Data Engineer to analyze large datasets, build machine learning models, and develop data-driven solutions that support business decision-making. The ideal candidate will have strong experience in Python, machine learning modeling, and big data technologies, along with the ability to collaborate with cross-functional teams to deliver scalable data solutions.

Key Responsibilities:

• Analyze large and complex datasets to derive actionable insights and support business strategies.
• Develop, train, and implement advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Communicate analytical findings, insights, and recommendations to stakeholders and executive leadership.
• Stay updated with the latest advancements and technologies in data science, machine learning, and AI.

Basic Qualifications:

• Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 8 years of experience in a data science or data engineering role.
• Strong proficiency in Python and libraries such as Pandas, NumPy, and Scikit-Learn.
• Experience working with PySpark for large-scale data processing.
• Strong understanding of machine learning techniques and algorithms.
• Proficiency in programming languages such as Python or R.

Preferred Qualifications:

• Experience with modern ML frameworks such as PyTorch or TensorFlow.
• Experience with big data technologies such as PySpark.
• Experience training and deploying ML models in cloud environments such as Azure, AWS, or GCP.
• Proven experience deploying and optimizing machine learning models in production environments.
• Strong communication and data visualization skills to present insights to non-technical stakeholders.