INSPYR Solutions
Role:
AI/ML Developer Location:
NYC Duration:
1+ year Contract Compensation:
$90.00 - 100.00/hr Work Requirements:
US Citizen, GC Holders or Authorized to Work in US
If interested, please contact Margot Parsons at mparsons@inspyrsolutions.com or call 714-465-5478
Key Responsibilities: Develop and implement machine learning models for customer analytics, profitability assessment, and balance sheet optimization. Work with structured and unstructured data, leveraging techniques such as NLP, deep learning, and time-series analysis. Collaborate with business stakeholders to translate banking problems into machine learning solutions. Deploy models into production using MLOps best practices. Ensure compliance with regulatory requirements and model governance frameworks. Conduct model validation, performance tuning, and explainability analysis. Stay updated with emerging AI/ML trends in the financial industry. Required Qualifications & Experience:
5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector. Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn. Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases. Knowledge of risk modeling, capital models, and regulatory compliance in banking. Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow). Strong understanding of statistical modeling, optimization, and feature engineering. Ability to communicate complex ML concepts to non-technical stakeholders. Degree in Computer Science, Data Science, Mathematics, or related field preferred. Nice-to-Have Skills:
Experience in automated trading, portfolio optimization, or AI-driven customer engagement. Familiarity with LLMs and GenAI applications in banking. Certifications in AWS/Azure AI/ML services.
25-15018
AI/ML Developer Location:
NYC Duration:
1+ year Contract Compensation:
$90.00 - 100.00/hr Work Requirements:
US Citizen, GC Holders or Authorized to Work in US
If interested, please contact Margot Parsons at mparsons@inspyrsolutions.com or call 714-465-5478
Key Responsibilities: Develop and implement machine learning models for customer analytics, profitability assessment, and balance sheet optimization. Work with structured and unstructured data, leveraging techniques such as NLP, deep learning, and time-series analysis. Collaborate with business stakeholders to translate banking problems into machine learning solutions. Deploy models into production using MLOps best practices. Ensure compliance with regulatory requirements and model governance frameworks. Conduct model validation, performance tuning, and explainability analysis. Stay updated with emerging AI/ML trends in the financial industry. Required Qualifications & Experience:
5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector. Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn. Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases. Knowledge of risk modeling, capital models, and regulatory compliance in banking. Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow). Strong understanding of statistical modeling, optimization, and feature engineering. Ability to communicate complex ML concepts to non-technical stakeholders. Degree in Computer Science, Data Science, Mathematics, or related field preferred. Nice-to-Have Skills:
Experience in automated trading, portfolio optimization, or AI-driven customer engagement. Familiarity with LLMs and GenAI applications in banking. Certifications in AWS/Azure AI/ML services.
25-15018