
Advanced AI Researcher
1 day ago
About This Role
We are seeking a highly skilled Senior Applied Research Scientist to lead and contribute to cutting-edge research in Generative AI, including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering.
The ideal candidate will have extensive hands-on experience in AIML RD, including minimum 2-3 years in GenAI. They will be responsible for building and evaluating AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikit-learn, etc.
The selected individual will also be expected to publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.
Key Responsibilities- 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 and 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, Scikit-learn, etc.
- Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.
- 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.
- 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.
- Apache Airflow, Apache Spark, Python, Azure Cosmos DB, Azure Data Factory, Azure IoT, Azure Synapse Analytics, AZURE DATA LAKE, Databricks, AR_VR_MR.
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