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Artificial Intelligence Engineer
2 months ago
Job Title: AI Engineer
Job Type: On-Site
Experience: 3 - 5 years
Education:
- Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent experience.
Technical Skills:
- Proficiency in AI and machine learning algorithms, including supervised and unsupervised learning, neural networks, and deep learning.
- Strong knowledge of programming languages such as Python, TensorFlow, PyTorch, or similar AI frameworks.
- Experience with API integration and working with large datasets, including data preprocessing, cleaning, and analysis.
- Understanding of algorithms, data structures, and performance optimization.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML workloads.
- Experience in fine-tuning Large Language Models (LLMs) is a must.
- Experience with Retrieval-Augmented Generation (RAG) is a must.
- Experience with computer vision, natural language processing, or reinforcement learning is a plus.
- Ability to work on fixed deadlines.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Meticulous attention to detail.
- Outstanding written and verbal communication skills.
- Ability to work in a collaborative team environment and be a good team player.
- Passionate about AI and its applications.
- Demonstrated ability to take initiative, lead projects autonomously, and contribute positively to team dynamics.
- Eagerness to learn new technologies and adapt to evolving industry trends.
Why Choose Us:
- Flexible work environment promoting a healthy work-life balance.
- Opportunities for continuous learning and skill development alongside project work.
- Relaxed and enjoyable atmosphere fostering creativity and innovation.
- Competitive compensation and benefits packages.
- Exciting projects at the forefront of AI and machine learning innovation.
- Collaborative team environment where every voice is valued.
- Access to cutting-edge technologies and tools.
- Opportunities for growth and advancement within the company.
- Company culture that values diversity, inclusion, and respect.
- A chance to be part of transforming AI research into real-world applications, impacting industries globally.