Apex Systems
Job# :
2081102 Job Description : Role Responsibilities : Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting. Apply deep learning techniques (CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems. Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement. Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (AUC, F1, BLEU, IoU, perplexity) based on the use case. Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML. Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time). Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system. Mentor junior data scientists, contribute to code reviews, and lead technical discussions across teams. Role Requirements : Bachelor’s degree in Computer Science, Statistics, Applied Math, or related field (Master’s or PhD preferred). 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural networks. Experience in Banking, Payments, or Financial Services formulating AI data solutions. Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch. Deep understanding of neural networks, regularization, overfitting/underfitting prevention, and GPU training. Experience with customer data enrichments. Proven track record of deploying ML models at scale in production. Experience with cloud platforms (AWS, GCP, Azure), containerization, and model serving. Excellent communication skills for technical and non-technical audiences. Hands-on experience with deep learning applications like recommendation engines, fraud detection, customer segmentation, etc. Familiarity with MLOps tools (MLflow, SageMaker, Airflow, Kubeflow). Experience with CI/CD, feature stores, and real-time inference systems. Contributions to academic research, open-source projects, or patents. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, age, sexual orientation, gender identity, national origin, or other protected characteristics. We consider qualified applicants with criminal histories in accordance with applicable law. For accommodations, contact our Employee Services Department or call 844-463-6178. Apex Systems is a global IT services company valuing innovation, collaboration, and continuous learning. We offer career resources, training, certifications, and benefits. Recognitions include ClearlyRated's Best of Staffing and Great Place to Work awards. Apex Benefits Overview :
We offer medical, dental, vision, life, disability insurance, ESPP, 401K, HSA, Employee Assistance Program, discounts, and professional development resources. Our support teams and a dedicated Career Coach are available to assist you. Details are available in our ‘Welcome Packet’.
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2081102 Job Description : Role Responsibilities : Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting. Apply deep learning techniques (CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems. Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement. Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (AUC, F1, BLEU, IoU, perplexity) based on the use case. Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML. Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time). Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system. Mentor junior data scientists, contribute to code reviews, and lead technical discussions across teams. Role Requirements : Bachelor’s degree in Computer Science, Statistics, Applied Math, or related field (Master’s or PhD preferred). 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural networks. Experience in Banking, Payments, or Financial Services formulating AI data solutions. Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch. Deep understanding of neural networks, regularization, overfitting/underfitting prevention, and GPU training. Experience with customer data enrichments. Proven track record of deploying ML models at scale in production. Experience with cloud platforms (AWS, GCP, Azure), containerization, and model serving. Excellent communication skills for technical and non-technical audiences. Hands-on experience with deep learning applications like recommendation engines, fraud detection, customer segmentation, etc. Familiarity with MLOps tools (MLflow, SageMaker, Airflow, Kubeflow). Experience with CI/CD, feature stores, and real-time inference systems. Contributions to academic research, open-source projects, or patents. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, age, sexual orientation, gender identity, national origin, or other protected characteristics. We consider qualified applicants with criminal histories in accordance with applicable law. For accommodations, contact our Employee Services Department or call 844-463-6178. Apex Systems is a global IT services company valuing innovation, collaboration, and continuous learning. We offer career resources, training, certifications, and benefits. Recognitions include ClearlyRated's Best of Staffing and Great Place to Work awards. Apex Benefits Overview :
We offer medical, dental, vision, life, disability insurance, ESPP, 401K, HSA, Employee Assistance Program, discounts, and professional development resources. Our support teams and a dedicated Career Coach are available to assist you. Details are available in our ‘Welcome Packet’.
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