AI Developer Subcontractor

FL, United States

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AI Developer 

 

As an Artificial Intelligence (AI) Developer, you will be responsible for designing, developing, and implementing cutting-edge AI solutions. Your primary focus will be on creating intelligent systems that can perform tasks requiring human-like cognitive abilities, such as natural language processing, computer vision, and machine learning. Collaborating with cross-functional teams, you will contribute to the development of innovative AI applications to solve complex problems and enhance business processes.

 

Key Responsibilities:

  1. Algorithm Development:
  • Design and implement machine learning algorithms and models to address specific business needs.
  • Fine-tune models to improve accuracy and performance
  1. Data Processing and Analysis:
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Collaborate with data engineers to ensure data quality and availability.
  1. Software Development:
  • Develop and maintain AI applications and frameworks.
  • Integrate AI solutions into existing systems and applications.
  1. Model Training and Evaluation:
  • Train, validate, and optimize machine learning models using various datasets.
  • Evaluate model performance and implement improvements.
  1. Natural Language Processing (NLP) and Computer Vision:
  • Implement NLP techniques for text analysis, sentiment analysis, and language understanding.
  • Develop computer vision solutions for image and video analysis.
  1. Collaboration:
  • Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
  • Collaborate with stakeholders to understand business requirements and propose AI solutions.
  1. Research and Innovation:
  • Stay abreast of the latest advancements in AI, machine learning, and related fields.
  • Contribute to the research and development of new AI technologies.
  1. Documentation:
  • Document code, algorithms, and processes to ensure knowledge transfer and maintainability.
  1. Testing and Debugging:
  • Conduct rigorous testing to identify and fix issues in AI applications.
  • Debug and troubleshoot problems in collaboration with the software development team.
     

Qualifications:

  • Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience in developing and deploying machine learning models.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Knowledge of natural language processing, computer vision, and other AI-related domains.
  • Familiarity with data processing tools and techniques.
  • Excellent problem-solving and analytical skills.
  • Effective communication and collaboration skills.

 

Preferred Skills:

  • Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
  • Knowledge of deep learning techniques.
  • Familiarity with big data technologies.
  • Strong software engineering principles and practices.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Azure Big Data Computer Science Computer Vision Data quality Deep Learning Engineering GCP Google Cloud Java Machine Learning ML models Model training NLP Python PyTorch Research TensorFlow Testing

Region: North America
Country: United States

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