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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 engineering techniques for NLP models. Develop and train LLM models for various applications. Develop and implement com puter vision algorithms for object recognition and image classification tasks. NLP, AI feature development for the No Code platform. Evaluate and Design NLP applications. Find and implement the right algorithms and tools for NLP tasks.
Posted 2 days ago
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 technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.
Posted 2 months ago
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