Job Title: AI/ML – Data Engineer (Python, Gen AI, ML Modeling)
Location: New York, NY (Hybrid – 3 Days Onsite)
Job Description:
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.
| Location | NY, NY |