AI/ML Engineer
Technource
Date: 3 weeks ago
City: Ahmedabad, Gujarat
Contract type: Full time
Position
AI/ML Engineer
Industry Type
IT Services
Experience
3+ Years
Salary
As per industry standard
Job Location
Ahmedabad
Job Description
Technource is hiring a skilled AI/ML Engineer to build and deploy advanced machine learning and deep learning solutions across real-world systems. The ideal candidate will have hands-on experience with the full model lifecycle, be capable of working on face and object recognition, and integrate models into high-performance, real-time applications.
Describe Skill and Experience
AI/ML Engineer
Industry Type
IT Services
Experience
3+ Years
Salary
As per industry standard
Job Location
Ahmedabad
Job Description
Technource is hiring a skilled AI/ML Engineer to build and deploy advanced machine learning and deep learning solutions across real-world systems. The ideal candidate will have hands-on experience with the full model lifecycle, be capable of working on face and object recognition, and integrate models into high-performance, real-time applications.
Describe Skill and Experience
- Design, develop, and deploy ML/DL models for classification, regression, clustering, recommendation, and real-time applications.
- Manage end-to-end model lifecycle: data preparation, preprocessing, augmentation, training, validation, deployment, and monitoring.
- Build and optimize RAG-based architectures by integrating LLMs (e.g., GPT, LLaMA) with vector databases and external data sources.
- Develop and deploy accurate face recognition systems (e.g., FaceNet, ArcFace) and object detection with liveness detection.
- Prepare custom datasets, apply data augmentation, and validate models for robustness and accuracy.
- Deploy models using REST APIs, Docker, Kubernetes, and MLOps tools for scalable, production-grade solutions.
- Ensure real-time performance of AI models in production systems, including edge deployment when required.
- Strong skills in Python, OpenCV, NumPy, and either PyTorch or TensorFlow.
- Excellent debugging, optimization, and problem-solving skills on real-world datasets.
- Familiarity with model optimization techniques and performance scaling is a plus.
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