Senior Artificial Intelligence Research Scientist

3 days ago

Anand, Gujarat, India beBeeData Full time ₹ 19,16,414 - ₹ 21,48,538
AI Researcher - Data Engineer

We are seeking an experienced AI researcher with a strong background in Generative AI and complementary expertise in Computer Vision and Predictive Modeling.

The ideal candidate will drive the research design and prototyping of AI-based solutions that push the boundaries of industrial applications, digital twins, and autonomous systems.

  • Lead and contribute to applied research in Generative AI including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering.
  • Collaborate with product and engineering teams to translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil gas, and healthcare.
  • Conduct RD in Traditional AI domains such as Computer Vision, object detection, segmentation, OCR, and Predictive Analytics, RUL anomaly detection, forecasting.
  • Build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikitlearn, etc.
  • Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.

Key Responsibilities:

  • Research Design: Develop innovative AI solutions that address complex business challenges.
  • Product Development: Collaborate with cross-functional teams to bring AI research to life.
  • Model Evaluation: Build, train, and evaluate AI models using various tools and frameworks.
  • Knowledge Sharing: Publish research outcomes and share knowledge with the organization.

Required Skills & Qualifications:

  • 7-12 years of hands-on experience in AIML RD including minimum 2-3 years in GenAI.
  • Strong experience with LLMs fine-tuning model evaluation vector databases and inference pipelines.
  • Deep expertise in at least one traditional domain Computer Vision, eg CNNs, YOLO, Mask RCNN or Predictive Modeling, eg time series survival models.
  • Experience deploying models in Edge Cloud MLOps pipelines and working with enterprise data platforms.
  • Strong programming skills in Python and experience with notebook-based prototyping, REST APIs, and ML libraries.

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