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 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.

· 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.

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