1.0 - 5.0 years

0 Lacs

noida, all india

On-site

As an AI Intern at our company, you will be part of a dynamic team working on cutting-edge AI projects. Your role will involve developing machine learning models, analyzing data, and automating processes to drive innovation and efficiency. Key Responsibilities: - Assist in developing and implementing AI/ML algorithms and models. - Analyze large datasets to extract patterns, trends, and insights for enhancing model performance. - Contribute to researching and developing new machine learning techniques and tools. - Collaborate with data scientists, engineers, and team members to create AI-driven solutions. - Aid in automating tasks and processes through the use of AI technologies. - Document a...

Posted 1 month ago

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AI NLP Engineer Spes Manning

0.0 - 5.0 years

0 - 5 Lacs

Pune, Maharashtra, India

On-site

Required skills: Strong programming skills in Python. (Must have) Experience with machine learning frameworks such as TensorFlow, Py Torch, or Kera's. (Must have) Familiarity with document understanding tools such as OCR and text extraction techniques (Must have) Familiarity with computer vision libraries such as OpenCV and image processing techniques Familiarity with cloud computing platforms such as GCP is a plus. Exp in Neural Networks, Natural Language Processing concepts and Algorithms. Must have exp in text processing, intent classification, name entity recognition etc. Remuneration commensurate with experience (Minimum 2 years). Roles and responsibilities: Develop and refine prompt en...

Posted 4 months ago

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AI ML Developer Panzer Technologies

2.0 - 5.0 years

12 - 15 Lacs

Hyderabad

Work from Office

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning ...

Posted 7 months ago

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