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About the role
Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement Job Overview We are looking for a talented AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions that transform complex datasets into business-ready insights. The ideal candidate will have hands-on experience building and deploying ML/DL models across Computer Vision, Natural Language Processing (NLP), and Predictive Analytics domains. You will work on end-to-end AI solutions, from data preparation and model development to deployment and optimization. Key Responsibilities Design, develop, and deploy scalable Machine Learning and Deep Learning models.Build AI solutions across:Object DetectionImage SegmentationComputer Vision ApplicationsNLP-based SolutionsRecommendation SystemsForecasting ModelsChurn & Propensity ModelsDevelop and maintain:Data pipelinesFeature engineering workflowsData modelsML tools and frameworksAnalyze large datasets and extract meaningful business insights.Create clear and impactful data visualizations and reports.Optimize model performance, accuracy, and scalability.Collaborate with product, engineering, and business teams.Mentor junior ML engineers and contribute to AI best practices.Required Skills & Qualifications Strong programming experience in Python / R / C / C++.Strong understanding of:Machine Learning algorithmsDeep Learning architecturesModel evaluation techniquesData preprocessingHands-on experience with:TensorFlowKerasPyTorchExperience working with Computer Vision, NLP, and Predictive Analytics projects.Strong problem-solving and analytical skills.Ability to convert business problems into AI/ML solutions.Preferred Experience Experience deploying ML models into production environments.Knowledge of MLOps, APIs, cloud platforms, or model monitoring is a plus. Skills Required Predictive Analytics, Natural Language Processing, Computer Vision, Tensorflow, Keras, Pytorch, Machine Learning Algorithms, C, Python Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement Job Overview We are looking for a talented AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions that transform complex datasets into business-ready insights. The ideal candidate will have hands-on experience building and deploying ML/DL models across Computer Vision, Natural Language Processing (NLP), and Predictive Analytics domains. You will work on end-to-end AI solutions, from data preparation and model development to deployment and optimization. Key Responsibilities Design, develop, and deploy scalable Machine Learning and Deep Learning models.Build AI solutions across:Object DetectionImage SegmentationComputer Vision ApplicationsNLP-based SolutionsRecommendation SystemsForecasting ModelsChurn & Propensity ModelsDevelop and maintain:Data pipelinesFeature engineering workflowsData modelsML tools and frameworksAnalyze large datasets and extract meaningful business insights.Create clear and impactful data visualizations and reports.Optimize model performance, accuracy, and scalability.Collaborate with product, engineering, and business teams.Mentor junior ML engineers and contribute to AI best practices.Required Skills & Qualifications Strong programming experience in Python / R / C / C++.Strong understanding of:Machine Learning algorithmsDeep Learning architecturesModel evaluation techniquesData preprocessingHands-on experience with:TensorFlowKerasPyTorchExperience working with Computer Vision, NLP, and Predictive Analytics projects.Strong problem-solving and analytical skills.Ability to convert business problems into AI/ML solutions.Preferred Experience Experience deploying ML models into production environments.Knowledge of MLOps, APIs, cloud platforms, or model monitoring is a plus. Skills Required Predictive Analytics, Natural Language Processing, Computer Vision, Tensorflow, Keras, Pytorch, Machine Learning Algorithms, C, Python
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