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ThreatXIntel
AI/ML Engineer - Computer Vision NLP Predictive Analytics
ThreatXIntel
Chennai•On-site•1-3 Yrs•Jun 24
Job description
Overview
As an AI/ML Engineer at our corporate client, you will be responsible for designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions.
Responsibilities
- As an AI/ML Engineer at our corporate client, you will be responsible for designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. Your role will involve transforming complex datasets into business-ready insights by building and deploying ML/DL models across various domains such as Computer Vision, NLP, and Predictive Analytics. You will work on end-to-end AI solutions, from data preparation and model development to deployment and optimization.
- 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, and Churn & Propensity Models.
- Develop and maintain data pipelines, feature engineering workflows, data models, and ML tools and frameworks.
- Analyze large datasets to 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.
- 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, and Churn & Propensity Models.
- Develop and maintain data pipelines, feature engineering workflows, data models, and ML tools and frameworks.
- Analyze large datasets to 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.
Qualifications
- Solid programming experience in Python / R / C / C++.
- Robust understanding of Machine Learning algorithms, Deep Learning architectures, model evaluation techniques, and data preprocessing.
- Hands-on experience with TensorFlow, Keras, and PyTorch.
- Solid problem-solving and analytical skills.
- Ability to convert business problems into AI/ML solutions.
- Solid programming experience in Python / R / C / C++.
- Robust understanding of Machine Learning algorithms, Deep Learning architectures, model evaluation techniques, and data preprocessing.
- Hands-on experience with TensorFlow, Keras, and PyTorch.
- Solid problem-solving and analytical skills.
- Ability to convert business problems into AI/ML solutions.