Overview:
Key Responsibilities:
Utilize frameworks like Langchain for developing scalable and productive AI solutions.
Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities.
Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI.
Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Demonstrable history of devising and overseeing data-centred projects
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Defining validation strategies, feature engineering data augmentation pipelines to be done on a given dataset




Training models and tuning their hyperparameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production

Qualifications and Education Requirements:
Bachelor’s/Master’s degree in computer science, data science, mathematics or a related field.

Preferred Skills:
Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data.
Proficiency with a deep learning framework such as TensorFlow, PyTorch and Keras
Specialized in Deep Learning (NLP) and statistical machine learning.
Solid Python skills.
Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone.
Understanding and experience with retrieval algorithms.
Worked on Big data platforms and technologies such as Apache Hadoo

📌 Data Scientist Noida
🏢 Coreops.ai
📍 Noida