Unlocking Human Potential through Artificial Intelligence

1 week ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 3,00,00,000
Advance AI Researcher

We are a cutting-edge technology firm dedicated to driving innovation in the field of artificial intelligence. Our mission is to harness the power of AI to solve complex real-world problems and build products that make an impact.

Job Overview:
  • Conduct research: Drive independent and collaborative research in AI, with a focus on advancing state-of-the-art algorithms in areas such as natural language processing, computer vision, reinforcement learning, or deep learning.
  • Algorithm development: Design and develop innovative machine learning models and algorithms to solve complex problems, pushing the envelope in terms of performance and efficiency.
  • Experimentation & evaluation: Plan, implement, and evaluate experiments to validate research hypotheses. Analyze large datasets to derive insights and improve models.
  • Collaboration: Collaborate with cross-functional teams including data scientists, engineers, and product managers to translate research findings into production-ready AI systems.
  • Documentation & publishing: Document research findings and methodologies, and contribute to publications in top-tier AI/ML conferences and journals.
  • Innovation: Stay up-to-date with the latest trends and developments in AI research. Evaluate new techniques and integrate them into the organization's AI capabilities.
Required Skills and Qualifications:
  • Education: Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Experience: 2+ years (for entry-level) or 5+ years (for senior) of research experience in AI/ML.
  • Technical skills: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, etc.). Strong understanding of machine learning algorithms, statistics, and optimization techniques. Experience working with large-scale datasets and distributed computing environments.
Preferred Qualifications:
  • Industry experience: Prior experience in applying AI research in industry (e.g., healthcare, autonomous vehicles, robotics, etc.).
  • Open source contributions: Active contributions to AI-related open-source projects or libraries.
  • Advanced topics: Exposure to advanced topics such as meta-learning, self-supervised learning, or AI ethics.
  • Cloud platforms: Experience with cloud computing platforms like AWS, GCP, or Azure for large-scale model training and deployment.

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