. AI Engineer

Confidential


Housekeeping Ahmedabad
Confidential • Ahmedabad, Gujarat • via Post Job
20 hours ago
Full–time
No Degree Mentioned
Apply on Post Job
Job description
Housekeeping Work And Pasent Caring Work.

More info about this Housekeeping Job:

1. How much salary can I expect for this role?

Ans. Excellence Man Power Service will provide a salary in the range of +000 INR to 10000 INR. The exact salary will be decided based on your skills, experience and interview performance.

2. What are the educational requirements for this job?

Ans. Excellence Man Powe...
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Simform


Sr. AI Engineer
Simform • Shela, Gujarat • via Simform Careers
21 hours ago
Full–time
Apply on Simform Careers
Apply on ZipRecruiter India
Job description
Roles and responsibilities:
• Design and develop machine learning pipelines for various tasks, including classification, regression, and natural language processing (NLP)
• Implement and experiment with different machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Pre-process and clean large datasets for model training and evaluation
• Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain
• Integrate machine learning models into production systems and monitor their performance
• Design and develop machine learning pipelines for computer vision tasks, including object detection, image classification, and image segmentation
• Implement and experiment with different machine learning algorithms and techniques specific to computer vision, such as convolutional neural networks (CNNs)
• Collaborate effectively with data scientists, software engineers, and other stakeholders to ensure the successful development and deployment of machine learning solutions, particularly focusing on computer vision and LLM applications
• Communicate complex technical concepts to non-technical audiences
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models
• Utilize database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating machine learning models