
Expertise in Machine Learning and Artificial Intelligence
2 weeks ago
About People Prime Worldwide : Our organization is a leading player in the IT services and consulting industry, providing digital transformation, cloud computing, data analytics, and enterprise application integration solutions to clients across various sectors.
With a global presence and a team of experts, we cater to complex business challenges by combining domain expertise with deep technical capabilities.
Job Title: Azure Data Engineer
Key Responsibilities:
Lead 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 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.
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 (e.g., CNNs, YOLO, Mask RCNN) or Predictive Modeling (e.g., 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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