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 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
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 t
📌 Data Scientist (Noida)
🏢 Coreops.ai
📍 Noida
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