AI Research Scientist

7 days ago

Bengaluru, Karnataka, India Qrata Full time

Position Summary

We are seeking a talented AI Research Scientist with expertise in deep learning to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a focus on developing, deploying, and optimizing generative models. You will work closely with our cross-functional teams to design innovative AI-driven products and services that meet the needs of our diverse customer base.

Key Responsibilities:

  • Design, develop, and deploy advanced AI models, with a particular focus on deep learning architectures such as Transformers, Graph Neural Networks and Autoencoders.
  • Collaborate with data scientists, software engineers, and product managers to integrate AI models into production systems.
  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continuously improve our AI capabilities.
  • Optimize and fine-tune deep models for performance, scalability, and robustness.
  • Implement machine learning pipelines and workflows to support the deployment and maintenance of AI models in production.
  • Analyze large datasets to extract meaningful insights and patterns that can inform model development.
  • Participate in code reviews, contribute to technical documentation, and mentor junior team members.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions using AI.
  • Ensure the ethical use of AI by adhering to best practices in AI governance and compliance.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A PhD is a plus.
  • Proficiency in Python.
  • Strong familiarity with deep learning frameworks such as PyTorch, JAX or Tensor flow
  • Hands-on experience with deep learning architectures, including, VAEs, and Transformer models (like e.g., GPT, BERT).
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with cloud platforms (AWS, GCP, Azure) for deploying AI solutions at scale.
  • Familiarity with MLOps practices and tools for CI/CD in AI/ML pipelines.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
  • A passion for innovation and a keen interest in the future of AI technologies.

Compensation and Benefits

  • Competitive salary commensurate with experience and qualifications
  • Up to 30% performance bonus
  • Stock options and equity participation in the company's success
  • Comprehensive health, dental, vision insurance and retirement plan.
  • Generous paid time off and flexible work arrangements
  • Professional development and training opportunities

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