AI Researcher
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Location
United States of America
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Sector:
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Job type:
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Salary:
Negotiable
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Contact:
Bryan Scott
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Contact email:
b.scott@ioassociates.com
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Job ref:
BBBH152817_1734736728
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Startdate:
ASAP
AI Researcher
We are seeking a passionate and innovative AI Researcher to join a forward-thinking team. In this role, you will drive the development of cutting-edge artificial intelligence technologies by conducting research, designing algorithms, and creating models to solve complex problems. You will collaborate with a dynamic group of scientists, engineers, and domain experts to push the boundaries of AI applications.
Key Responsibilities
Research and Development:
- Explore and develop new algorithms and models in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
Model Design and Implementation:
- Design, implement, and optimize AI models for specific applications.
- Develop scalable and efficient solutions to handle large datasets.
- Validate and improve model accuracy and generalizability.
Data Handling:
- Work with structured and unstructured datasets to train and evaluate models.
- Implement data preprocessing, augmentation, and feature engineering techniques.
- Ensure data quality and integrity for optimal performance.
Collaboration and Integration:
- Partner with engineers to deploy AI solutions into production environments.
- Collaborate with product teams to align AI research with business objectives.
Ethical AI Practices:
- Address fairness, bias, and ethical considerations in AI development.
- Ensure compliance with data privacy regulations and industry standards.
Continuous Learning:
- Stay updated on the latest trends, tools, and techniques in AI.
- Participate in AI conferences, workshops, and academic discussions.
Technical Skills Required
- Proficiency in programming languages like Python, R, or C++.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Expertise in working with databases, big data tools, and cloud platforms.
- Bachelor's, Master's, or Ph.D. in Computer Science, AI, or related field.
- Experience with generative AI models (e.g., transformers, GANs).
- Familiarity with reinforcement learning and its applications.
- Knowledge of ethical AI practices and explainability techniques.
- Industry experience in sectors such as risk and compliance, supply chain, or autonomous systems.