AI/ML Engineer - Computer Vision NLP Predictive Analytics (Coimbatore)

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 Detection - Image Segmentation - Computer Vision Applications - NLP-based Solutions - Recommendation Systems - Forecasting Models - Churn & Propensity Models - Develop and maintain: - Data pipelines - Feature engineering workflows - Data models - ML tools and frameworks - Analyze large datasets and extract meaningful business insights. - Create transparent 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 algorithms - Deep Learning architectures - Model evaluation techniques - Data preprocessing - Hands-on experience with: - Tensor Flow - Keras - PyTorch - Experience 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. 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 Detection - Image Segmentation - Computer Vision Applications - NLP-based Solutions - Recommendation Systems - Forecasting Models - Churn & Propensity Models - Develop and maintain: - Data pipelines - Feature engineering workflows - Data models - ML tools and frameworks - Analyze large datasets and extract meaningful business insights. - Create transparent 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 algorithms - Deep Learning architectures - Model evaluation techniques - Data preprocessing - Hands-on experience with: - Tensor Flow - Keras - PyTorch - Experience 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.