Artificial Intelligence Innovator

1 day ago

Hyderabad, Telangana, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000
AI Researcher Position

We are seeking a skilled AI Researcher to join our research team and contribute to the development of cutting-edge artificial intelligence technologies.

  • Job Summary:
  • Achieve innovative advancements in AI algorithms, models, and techniques in machine learning, deep learning, and artificial intelligence.
  • Collaborate with data scientists, engineers, and product teams to translate theoretical AI advancements into practical applications.

Key Responsibilities:

  1. Conduct Research: Drive independent and collaborative research in AI, focusing on advancing state-of-the-art algorithms in areas such as natural language processing, computer vision, reinforcement learning, or deep learning.
  2. Algorithm Development: Design and develop novel machine learning models and algorithms to solve complex problems, pushing the envelope in terms of performance and efficiency.
  3. Experimentation & Evaluation: Plan, implement, and evaluate experiments to validate research hypotheses. Analyze large datasets to derive insights and improve models.
  4. Cross-Functional Collaboration: Collaborate with cross-functional teams to translate research findings into production-ready AI systems.
  5. Documentation & Publishing: Document research findings and methodologies, and contribute to publications in top-tier AI/ML conferences and journals.
  6. Innovation: Stay up-to-date with the latest trends and developments in AI research, evaluating new techniques and integrating them into our AI capabilities.

Required 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.
  • Research Expertise: Demonstrated expertise in one or more areas of AI, including but not limited to : Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning, Generative Models (e.g., GANs, VAEs), Multi-Agent Systems, Graph Neural Networks (GNNs).

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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