Senior AI Researcher

5 days ago

Noida Bengaluru Bangalore, India beBeeMachineLearning Full time US$ 1,50,000 - US$ 2,00,000

As a Machine Learning Engineer, you will be responsible for developing new ML models, platforms, and services that cover the entire ML lifecycle, from research to training and inference on multimodal datasets.

You will collaborate with product, engineering, and research teams to integrate sophisticated ML capabilities into applications, improving user experience with intelligent suggestions, automated content generation, and personalized recommendations.

Key Responsibilities:
  • Research and design advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI.
  • Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences.
  • Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high.
  • Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency.
Requirements:
  • Proficiency in Python and Java for ML model development and systems integration.
  • Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch.
  • Expertise in handling distributed training and large-scale inference platforms, including Spark, Hadoop, or Kubernetes.
  • Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences.
  • Proficiency in computer vision and NLP techniques for multimodal content understanding and generation.
  • Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML.
  • Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes.

This is an exciting opportunity to work on cutting-edge AI technologies and contribute to the development of innovative ML solutions. If you are passionate about machine learning and have a strong background in software development and AI, we encourage you to apply.

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