Key Responsibilities: Design and Develop Pega Applications: Build and maintain Pega-based applications by following best practices and leveraging the Pega platform’s tools and features. Integrate machine learning models into Pega workflows and processes to enhance automation and decision-making. Utilize Pega's Decisioning and AI capabilities to design decisioning strategies, predictive models, and real-time decision-making systems.
Experience: 3+ years of experience as a Pega developer, with p
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Key Responsibilities:
Develop and deploy machine learning models using Java-based frameworks (e.g., Weka, Deeplearning4j, MOA
Collaborate with data scientists and analysts to understand business problems and translate them into machine learning solutions.
Integrate machine learning models into production environments ensuring scalability, reliability, and performance.
Experience with deep learning frameworks such as TensorFlow orPyTorch.
Familiarity with containerization technologi
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Key Responsibilities:Develop and deploy machine learning models using Java-based frameworks (e.g., Weka, Deeplearning4j, MOACollaborate with data scientists and analysts to understand business problems and translate them into machine learning solutions.Integrate machine learning models into production environments ensuring scalability, reliability, and performance.Experience with deep learning frameworks such as TensorFlow or PyTorch.Familiarity with containerization technologies (Docker, Kubern
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Key Responsibilities:
Model Development & Deployment: Design, develop, and deploy machine learning models to solve business problems.Data Preprocessing: Gather, clean, and preprocess data for model training and evaluation.Algorithm Selection: Choose and implement appropriate machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning, etc based on the problem and dataset.Performance Evaluation: Evaluate and optimize the performance of machine learning models us
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Title: AI/ML consultant Location: Atlanta, GA Duration: long term Java Mongo DB with Artificial Neural Network ANN Pytorch with Machine Learning PythonGoogle Cloud Platform AI Services Develop and Deploy advanced Generative AI large language models Azure OpenAI Google Machine Learning and Deep Learning Models algorithms to enhance and/or automate existing business processes with predictive and intelligent decision-making content aggregation and contextualized insights. Processing cleansing and
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Qualifications
8+ years in machine learning, 5+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence.
Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization.
Proficiency in handling tabular da
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