Job Description:
An AI Specialist
designs develops and deploys artificial intelligence models and algorithms to solve complex business problems enhance efficiency and automate processes. They work with machine learning deep learning and data pipelines to build intelligent systems collaborating with teams to integrate AI into products optimize performance and ensure scalability.
Core Responsibilities
- Algorithm & Model Development:Designing training and testing machine learning neural network and deep learning models for predictive analysis or automation.
- Data Engineering:Collecting cleaning and preprocessing large complex datasets to improve model accuracy
.
- Deployment & Integration:Integrating AI models into existing software applications or cloud infrastructures.
- Performance Optimization:Monitoring validating and troubleshooting AI models to ensure high accuracy and efficiency.
- Research & Collaboration:Staying current with AI advancements and working with cross-functional teams (engineers data scientists) to align AI solutions with business goals.
Required Skills and Qualifications
- Technical Skills:Proficiency in Python R Java or C.
- AI/ML Frameworks:Expertise in TensorFlow PyTorch or Scikit-learn.
- Data Skills:Experience with SQL data modeling and preprocessing techniques.
- Concepts:Deep understanding of machine learning algorithms NLP or computer vision.
- Education:Bachelors or Masters degree in Computer Science Data Science or related field.
Potential Job Titles
- AI Engineer
- Machine Learning Specialist
- AI Data Scientist
- Research Scientist
- AI Developer
JOB APPLY
DETAILS -
Name - NAMRATA
Number -
Mail id -
Job Description:An AI Specialistdesigns develops and deploys artificial intelligence models and algorithms to solve complex business problems enhance efficiency and automate processes. They work with machine learning deep learning and data pipelines to build intelligent systems collaborating with te...
Job Description:
An AI Specialist
designs develops and deploys artificial intelligence models and algorithms to solve complex business problems enhance efficiency and automate processes. They work with machine learning deep learning and data pipelines to build intelligent systems collaborating with teams to integrate AI into products optimize performance and ensure scalability.
Core Responsibilities
- Algorithm & Model Development:Designing training and testing machine learning neural network and deep learning models for predictive analysis or automation.
- Data Engineering:Collecting cleaning and preprocessing large complex datasets to improve model accuracy
.
- Deployment & Integration:Integrating AI models into existing software applications or cloud infrastructures.
- Performance Optimization:Monitoring validating and troubleshooting AI models to ensure high accuracy and efficiency.
- Research & Collaboration:Staying current with AI advancements and working with cross-functional teams (engineers data scientists) to align AI solutions with business goals.
Required Skills and Qualifications
- Technical Skills:Proficiency in Python R Java or C.
- AI/ML Frameworks:Expertise in TensorFlow PyTorch or Scikit-learn.
- Data Skills:Experience with SQL data modeling and preprocessing techniques.
- Concepts:Deep understanding of machine learning algorithms NLP or computer vision.
- Education:Bachelors or Masters degree in Computer Science Data Science or related field.
Potential Job Titles
- AI Engineer
- Machine Learning Specialist
- AI Data Scientist
- Research Scientist
- AI Developer
JOB APPLY
DETAILS -
Name - NAMRATA
Number -
Mail id -
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