Job Description
•B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field
•Experience with Data Science (AI/ML)
•Strong programming skills in Python
•Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
•Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented).
•Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
•Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
•Building RAG application independently using available open source LLM models.
•Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).
Please share following response from candidate-
Data Scientist
• Years of experience in Machine Learning ?
• Do you have experience in Deep Learning ? if yes, how many years?
• Which Deep learning Framework have you worked with ? how do you rate yourself in it out of 10 ?
• Have you trained or finetuned a deep learning model ? if finetuned, name few pretrained models you have finetuned?
• Have you built NLP models? What specific NLP tasks have you tackled (e.g., sentiment analysis, named entity recognition, text summarization)?
• Which NLP libraries or frameworks have you used (e.g., NLTK, spaCy, Hugging Face Transformers)?
• Have you worked on CV projects? What types of tasks (e.g., object detection, image segmentation) have you handled?
• Which CV architectures or pre-trained models have you utilized (e.g., CNNs, ResNet, YOLO)?
• Do you have experience/exposure on working with LLM ? if yes, Which LLM have you used ( e.g., GPT3.5, Gemini, Llama)
• AIML experience using unstructured data : XX(In Years)
• How many models deployed in production which are consumed by end users: XX (Numbers of model)
• Unstructured data models
• Structure data Model
• DL framework : torch, Keras, Tensorflow
• Cloud platform - Azure (Data Bricks): xx (In years)
• Model build and deployed on cloud : XX (Number of models)
• Unstructured data models
• Structure data Model
DataBricks
• Years of experience working with cloud ? Which Cloud provider ?
• Years of experience in Databricks Machine Learning
• Have you deployed any models using Databricks model serving
• Have you deployed a model with unstructured data using Databricks model serving
