AI Research Scientist
AI Research Scientist
Posted on :
27-02-2025
Employer Active
1 Vacancy
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Job Description
Job Summary:
The AI Research Scientist will be responsible for conducting cuttingedge research in artificial intelligence machine learning and related fields to advance the organizations technological capabilities. This role involves developing innovative algorithms experimenting with new AI techniques and contributing to academic and industry knowledge. The ideal candidate has a strong background in AI research is proficient in mathematical modeling and is passionate about pushing the boundaries of AI and machine learning.
Key Responsibilities:
- Research & Innovation: Conduct advanced research in AI and machine learning focusing on developing new algorithms models and techniques to solve complex problems.
Conducts cuttingedge
research in AI and develops innovative algorithms and solutions.- Algorithm Design: Design implement and evaluate AI algorithms in areas such as natural language processing (NLP) computer vision reinforcement learning and deep learning.
- Experimentation: Design and conduct experiments to validate hypotheses optimize models and assess the effectiveness of new methods.
- Publications: Contribute to the AI community by publishing research papers attending conferences and presenting findings in academic and industry settings.
- Collaboration: Collaborate with other researchers data scientists and software engineers to integrate new AI technologies into the companys products and services.
- Prototyping: Develop prototypes and proofofconcept models that demonstrate the potential of new AI technologies.
- Mentorship: Provide guidance and mentorship to junior researchers data scientists and machine learning engineers.
- Data Collection & Analysis: Work with data engineers and scientists to collect preprocess and analyze large datasets for AI model training and validation.
- Model Evaluation: Develop evaluation frameworks to assess the performance and efficiency of AI models ensuring their robustness and scalability.
- Technology Transfer: Work with product teams to translate research innovations into deployable technologies for realworld applications.
Qualifications:
- Education: Ph.D. in Computer Science Artificial Intelligence Machine Learning or a related field.
- Experience:
- Proven research experience in AI machine learning or deep learning (3 years preferred).
- Strong publication record in AIrelated conferences and journals (e.g. NeurIPS ICML CVPR ACL).
- Handson experience with machine learning frameworks and tools such as TensorFlow PyTorch or Keras.
- Experience with algorithm development in areas like deep learning reinforcement learning or computer vision.
- Proficiency in programming languages such as Python C or Java.
- Skills:
- Strong theoretical understanding of AI and machine learning algorithms.
- Familiarity with mathematical modeling statistics and optimization techniques.
- Knowledge of cloud platforms (AWS Azure GCP) for largescale experiments.
- Excellent problemsolving skills and critical thinking.
- Ability to work independently on longterm research projects while also collaborating with crossfunctional teams.
- Strong communication skills with the ability to explain complex technical concepts clearly to different stakeholders.
Preferred Qualifications:
Postdoctoral experience or industry research experience in AI.
- Experience in applying AI techniques in domains such as healthcare finance robotics or autonomous systems.
Familiarity with big data frameworks (e.g. Hadoop Spark).
- Experience in reinforcement learning generative models or neural architecture search.
- Demonstrated ability to transition research findings into practical applications.
Employment Type
Full Time
Key Skills
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