- Research and Development : Conduct research to advance the field of artificial intelligence, including developing new algorithms, models, and techniques to solve complex problems.
- Algorithm Development : Design, implement, and optimize algorithms and models for machine learning, deep learning, reinforcement learning, and other AI applications.
- Data Analysis : Analyze large datasets to extract meaningful insights and patterns, and preprocess data for training machine learning models.
- Model Training and Evaluation : Train, validate, and optimize machine learning models using various techniques such as crossvalidation, hyperparameter tuning, and regularization.
- Software Development : Develop software applications and tools for AIrelated tasks, including data preprocessing, model training, deployment, and monitoring.
- Deployment and Integration : Deploy AI models into production environments and integrate them with existing systems and workflows.
- Performance Optimization : Optimize the performance of AI systems in terms of speed, scalability, accuracy, and resource utilization.
- Collaboration : Collaborate with crossfunctional teams including data scientists, software engineers, domain experts, and stakeholders to develop AI solutions that meet business requirements.
- Problem Solving : Identify and tackle challenging problems in various domains such as healthcare, finance, cybersecurity, autonomous vehicles, and more using AI techniques.
- Stay Updated : Keep abreast of the latest developments, trends, and breakthroughs in artificial intelligence by reading research papers, attending conferences, and participating in online communities.
- Ethical Considerations : Consider ethical implications and potential biases in AI systems, and ensure fairness, transparency, and accountability in AI development and deployment.
- Documentation and Reporting : Document research findings, methodologies, and experimental results in technical reports, papers, and presentations.
- Mentoring and Training : Mentor junior AI researchers and engineers, and provide training and guidance on AI concepts, tools, and techniques.
- Bachelors degree in computer science, artificial intelligence, machine learning, or a related field.
- Strong theoretical foundation in mathematics, statistics, and computer science.
- Proficiency in programming languages such as Python, Java, C++, or R.
- Deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI techniques.
- Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies.
- Excellent problemsolving skills and analytical thinking.
- Effective communication skills and ability to collaborate in a team environment.
- Creativity and innovation in approaching AI challenges.
- Ethical awareness and commitment to responsible AI practices.
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Lotus Interworks - india, India - Lotus Interworks Inc
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Description
Job Title : AI Expert
Remote
7pm IST to 4am IST (US SHIFT)
Position Overview :
The AI Expert will be responsible for leading and contributing to cutting-edge projects in artificial intelligence, machine learning, and related fields.
This role offers an exciting opportunity to work on challenging problems, develop innovative solutions, and make a significant impact in areasJob Description :
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