C2C Hiring for Lead AI-ML Engineer jobs

Position – Lead AI-ML Engineer
Location: Westerville, OH (Onsite)
Type: Contract

Job Description:

Key Responsibilities:

•            Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection.

•            Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques.

•            Perform data analysis, generate insights, and identify patterns to support decision-making.

•            Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy.

•            Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies.

•            Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.

•            Collaborate with engineers and business teams to integrate models into production systems.

•            Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability.

•            Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.

Required Skills & Qualifications:

•            Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

•            10+ years of hands-on experience in data science, AI, or ML engineering.

•            Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).

•            Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling.

•            Experience with anomaly detection techniques — supervised, unsupervised, and hybrid approaches.

•            Experience in Generative AI based implementations.

•            Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks.

•            Strong problem-solving, analytical thinking, and communication skills.

•            Experience in deploying ML models into production environments, MLOps, preferably on AWS