▷ (11/10/2025) Urgent Hiring II Data Scientist & Sr. Data Scientist

3 weeks ago

Noida India CoreOps.AI Full time

Job Description 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 And Education Requirements: - Bachelor's/Master's degree in computer science, data science, mathematics or a related field. - At least 3-10 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. Qualifications Bachelor's/Master's degree in computer science, data science, mathematics or a related field

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