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Artifical intelligence engineer

0 years

2 - 6 Lacs

Indore

Posted:2 days ago| Platform: GlassDoor logo

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Skills Required

cutting technology learning power ai drive efficiency ml data design python test tensorflow pytorch processing engineering model code support integration preprocessing preprocess analyze collaboration

Work Mode

On-site

Job Type

Part Time

Job Description

We are a cutting-edge technology company that specializes in developing innovative artificial intelligence and machine learning solutions. Our mission is to harness the power of AI to drive business growth, improve efficiency, and enhance customer experience.
Job Summary:
We are seeking an experienced Artificial Intelligence Engineer to join our team in Indore, Madhya Pradesh, India. As an AI Engineer, you will be responsible for designing, developing, and deploying AI and ML models to solve complex business problems. You will work closely with our data scientists, product managers, and other engineers to integrate AI into our products and services. Key Responsibilities:
1. Design and Develop AI/ML Models:


  • Design, develop, and deploy AI/ML models using Python and other relevant technologies.
  • Collaborate with data scientists to gather requirements, collect data, and develop models.
  • Implement and test models using various frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).


2. Prompt Engineering:


  • Develop and refine natural language processing (NLP) models using prompt engineering techniques.
  • Create high-quality prompts to elicit accurate and relevant responses from AI models.
  • Optimize prompt design to improve model performance and reduce errors.


3. Python Development:


  • Develop and maintain Python scripts and code to support AI/ML model deployment.
  • Utilize Python libraries and frameworks to build and integrate AI/ML models into our products.
  • Collaborate with other engineers to ensure seamless integration with existing systems.


4. Data Preprocessing and Analysis:


  • Collect, preprocess, and analyze data to support AI/ML model development.
  • Clean, transform, and feature-engineer data to improve model performance.
  • Work with data scientists to identify and address data quality issues.


5. Collaboration and Communication:


  • Work closely with data scientists, product managers, and other engineers to integrate AI

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