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Title
Text copied to clipboard!AI Research Engineer
Description
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We are looking for an AI Research Engineer to join our cutting-edge artificial intelligence team. In this role, you will be responsible for designing, developing, and implementing advanced AI models and algorithms that solve real-world problems. You will work closely with data scientists, software engineers, and product teams to bring innovative AI solutions from concept to production.
As an AI Research Engineer, you will explore state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and natural language processing. You will conduct experiments, analyze results, and iterate on models to improve performance and scalability. Your work will directly impact the development of intelligent systems across various domains such as healthcare, finance, robotics, and more.
You should have a strong background in computer science, mathematics, or a related field, with experience in machine learning frameworks such as TensorFlow or PyTorch. A passion for research and a deep understanding of AI principles are essential. You will also be expected to stay up to date with the latest academic and industry advancements in AI and contribute to internal knowledge sharing and publications.
This is an exciting opportunity for someone who thrives in a fast-paced, research-driven environment and is eager to push the boundaries of what AI can achieve. If you are a creative thinker with strong analytical skills and a desire to make a meaningful impact through technology, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design and implement machine learning models and algorithms
- Collaborate with cross-functional teams to integrate AI solutions
- Conduct experiments and analyze model performance
- Stay current with latest AI research and technologies
- Optimize models for scalability and efficiency
- Document research findings and development processes
- Contribute to academic publications and internal whitepapers
- Develop prototypes and proof-of-concept systems
- Participate in code reviews and knowledge sharing sessions
- Support deployment of AI models into production environments
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Strong understanding of machine learning and deep learning concepts
- Proficiency in Python and ML libraries such as TensorFlow or PyTorch
- Experience with data preprocessing and model evaluation techniques
- Familiarity with cloud platforms and distributed computing
- Excellent problem-solving and analytical skills
- Strong written and verbal communication abilities
- Ability to work independently and in a team environment
- Knowledge of reinforcement learning or NLP is a plus
- Experience with version control systems like Git
Potential interview questions
Text copied to clipboard!- What machine learning projects have you worked on?
- Which ML frameworks are you most comfortable with?
- How do you stay updated with the latest AI research?
- Describe a challenging AI problem you solved.
- What is your experience with deploying models to production?
- Have you contributed to any academic publications?
- How do you evaluate the performance of your models?
- What is your approach to debugging complex algorithms?
- Do you have experience with cloud-based AI services?
- How do you handle large-scale data processing?
