Artificial Intelligence Researcher
3 weeks ago
AI Researcher
Job Description: We are seeking a highly skilled and experienced AI Research Engineer to join us in building next generation Cognitive AI systems. The ideal candidate should have a robust background in developing AI products, utilizing machine learning algorithms, and engineering them to scale effectively. The role involves building AI algorithms starting from data pre-processing to model development and deployment.
Responsibilities:
- Conduct advanced research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models.
- Collaborate with cross-functional teams to design and evaluate AI systems.
- Publish research findings in top-tier conferences and journals.
- Stay current with the latest advancements in AI and related fields.
- Mentor and guide junior researchers and interns.
- Participate in the development of new AI-based products and services.
- Analyze and interpret complex data sets to derive actionable insights.
- Present research findings to internal and external stakeholders.
- Contribute to the development of AI research strategies and roadmaps.
- Identify and address ethical and societal implications of AI technologies.
- Develop and maintain research documentation and code repositories.
- Collaborate with academic and industry partners on joint research projects.
- Secure funding for research projects through grant proposals and partnerships.
- Evaluate and integrate new AI tools and technologies into existing workflows.
Requirements:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in AI, machine learning, and data science.
- Proven track record of conducting innovative research in AI.
- Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 5 to 8 years of professional experience in Python development, data science, and machine learning.
- Understanding of the generative ai algorithms: Transformers, Temporal Fusion Transformers, and its interpretability
- Strong proficiency in Python programming and relevant libraries/modules (NumPy, Pandas, SciPy, etc.)
- Experience with classification, regression, and forecasting algorithms, along with pre and post-processing techniques
- Proficiency in deep learning models using PyTorch, TensorFlow, or similar frameworks.
- Solid understanding of basic statistics and hypothesis testing
- Excellent communication and presentation skills
- Strong publication record in top-tier conferences and journals.
- Ability to work effectively both independently and as part of a team.
- Excellent communication and presentation skills.
- Experience with data analysis and visualization tools.
- Knowledge of statistical methods and techniques.
- Ability to manage multiple projects and priorities simultaneously.
- Strong attention to detail and commitment to quality.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Understanding of ethical and societal implications of AI technologies.
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