Artificial Intelligence Engineer
6 days ago
TechWish is seeking an experienced Artificial Intelligence Engineer to join our team. As a key member of our AI engineering group, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models that drive business growth.
The ideal candidate will have a strong background in artificial intelligence, machine learning, and software engineering, as well as experience with cloud computing infrastructure and data visualization tools. You will work closely with our cross-functional team to deliver projects and research emerging technologies.
Estimated Salary: $160,000 - $190,000 per year
Responsibilities:
- Design and develop artificial intelligence and machine learning models that drive business growth
- Work with cross-functional teams to deliver projects and research emerging technologies
- Develop and maintain high-quality code and documentation
- Collaborate with data engineers and data scientists to ensure seamless integration of artificial intelligence and machine learning models into production environments
- Stay up-to-date with emerging trends and technologies in artificial intelligence and machine learning
- Mentor junior team members and provide guidance on best practices
Requirements:
- Bachelor's degree in computer science, mathematics, physics, statistics, or related field
- Strong experience with applying expertise in model design, training, validation, and monitoring
- Excellent understanding of artificial intelligence, machine learning, and software engineering
- Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code, and other languages appropriate for large data analysis
- Experience with cloud computing infrastructure
- Advanced SQL skills
- Experience with data visualization concepts and tools
- Ability to convey complex business problems to technical solutions
- Ability to work individually and as part of a team
Preferred Qualifications:
- Advanced degree in computer science, mathematics, physics, statistics, or related field
- Experience with Natural Language Processing
- Experience with deep learning framework and infrastructure like TensorFlow or PyTorch
- Experience and/or willingness to learn techniques in Large Language Models (LLMs) and Generative AI
- A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA
- Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases
- Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments
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