C
AI/ML Engineer
Bengaluru, Karnataka, India
Full-time
Posted 6 days ago
Entry level
On-site
AIMLData ScienceEngineering and Information TechnologySoftware Development
Job Description
Job Category: AIML
Job Type: Full Time
Job Location: Bengaluru Mangalore
Experience: 4-8 Years
Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow
Position Overview
We are looking for an experienced AI/ML Engineer to join our team. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. This role shall lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications.
Job Details
Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute
If you are passionate to work in a collaborative and challenging environment, apply now!
Job Type: Full Time
Job Location: Bengaluru Mangalore
Experience: 4-8 Years
Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow
Position Overview
We are looking for an experienced AI/ML Engineer to join our team. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. This role shall lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications.
Job Details
- Job Category: AI/ML Engineer.
- Job Type: Full-Time
- Job Location: Bangalore/Mangalore
- Experience Required: 4-8 Years
- Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning.
- Implement image preprocessing and advanced computer vision pipelines.
- Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices.
- Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models.
- Accelerate model inference using GPU programming with CUDA and cuDNN.
- Port and test models on embedded and edge hardware platforms. (Orin, Jetson, Hailo)
- Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks.
- Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services.
- Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training.
- Strong programming experience in Python.
- Solid background in deep learning, CNNs, and transfer learning and Machine learning basics.
- Expertise in object detection, classification, segmentation.
- Proficiency with PyTorch, TensorFlow, and ONNX.
- Experience with GPU acceleration (CUDA, cuDNN).
- Hands-on knowledge of model optimization (pruning, quantization).
- Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo )
- Understanding of image processing techniques.
- Familiarity with data pipelines, data preprocessing, and data analytics.
- Willingness to explore and contribute to Generative AI and cloud-based AI solutions.
- Good problem-solving and communication skills.
- Experience with C/C++.
- Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition).
- Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc.
- Knowledge of real-time deployment systems and streaming analytics.
Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute
If you are passionate to work in a collaborative and challenging environment, apply now!
Source: LinkedIn
62 applicants
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