itle – AI/ML - Data Engineer Role (Banking/Finance domain) Location – New York (Hybrid 3 to 5 days in the office)
Client F2F interview is required
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 8 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 stakeholder
Information
Locations Position Open to Only localsIndustry BankingStatus OpenJob Age 19 Day'sCreated Date 02/24/2026No.of Positions 1Duration 9 MonthsZip Code
