Hiring Alert: Data Scientist-Gen AI _.AI

4 days ago

Noida, Uttar Pradesh, India CoreOps Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Overview
We are seeking a highly motivated and experienced data scientist to help us in leading the team of Gen-Ai Engineers involved. You are required to lead manage all the processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Key Responsibilities

  • Utilize frameworks like Langchain for developing scalable and efficient 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
Qualifications and Education Requirements:

  • Bachelor's/Master's degree in computer science, data science, mathematics or a related field.
  • At least 5-10 years' experience in building Gen-Ai applications.

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.
  • Strong Python skills.
  • Experience with developing production-grade applications.
  • 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 Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale.
  • Familiarity in working and deploying applications on Ubuntu/Linux system
  • Excellent communication, negotiation, and interpersonal skills.

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