Senior AI Researcher

1 week ago


Amrāvati, Maharashtra, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

About us : We are a leading provider of digital transformation, cloud computing, and data analytics services. With a global presence and a workforce of over 80,000 professionals, we cater to clients across various industries.

We are seeking an experienced Data Engineer 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.

Key Responsibilities:

Lead and contribute to applied research in Generative AI, including LLMs, Vision-Language Models, 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 research 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.

Required Skills Experience:

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.

Good to Have Preferred:

Knowledge of Agentic AI, Digital Twins, or Simulation-based learning.

Experience in industrial AI domains, eg smart factory, quality inspection, predictive maintenance.

Exposure to generative vision models, like Diffusion Models, GANs, or NeRFs.

Experience collaborating in multidisciplinary RD teams.

Contributions to open-source patents or publications in AIML.

Mandatory Skills:

  • Azure Cosmos DB
  • Azure Data Factory
  • Azure IoT
  • Azure Synapse Analytics
  • Azure Data Lake
  • Databricks
  • AR_VR_MR


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