Data Scientist-Gen AI

**Job Description:** As a highly motivated and experienced data scientist, you will lead the team of Gen-Ai Engineers. Your responsibilities will include managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. You should be passionate about artificial intelligence and stay updated 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. - Explore and visualize data to gain an understanding of it and identify differences in data distribution that could impact model performance in the real world. - Devise and oversee data-centered projects, verify data quality, and ensure it through data cleaning. - Supervise the data acquisition process if additional data is required. - Find available datasets online for training purposes. - Define validation strategies, feature engineering, and data augmentation pipelines for a given dataset. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. **Qualifications and Education Requirements:** - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - Minimum 5-10 years of experience in building Gen-Ai applications. **Preferred Skills:** - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis. - Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python programming skills. - Experience in 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. - Familiarity with working and deploying applications on Ubuntu/Linux systems. - Excellent communication, negotiation, and interpersonal skills.,