Urgent Hiring II Data Scientist & Sr. Data Scientist

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