Job Description

JOB DESCRIPTION: Senior Data Scientist DataNeuron is headquartered in San Francisco with offices in New Delhi and focuses on the development and scaling of AI models. The company offers a data-centric, end-to-end solution for the Annotation, Training, and Management of Machine Learning models and LLMs. With DataNeuron, customers can quickly and easily produce prediction algorithms without writing any code. Who are we looking for We are looking for a Senior Data Scientist to join the DataNeuron Data Science team. We\'re searching for someone who\'s passionate about furthering the state of the art in NLP - and about building models that can deliver scale and performance that Precily\'s customers need. If you care both about solving thorny technical challenges and helping real customers, we want to talk to you. Minimum of 3-4 years of experience or a Master\'s Degree in the Data Science industry is required and extensive experience in leading a data science team would be preferred. Responsibilities The role requires deep knowledge in designing, developing, testing, and deploying analytics solutions including the following. Natural Language Processing (NLP), Neural Networks, Text Clustering, Abstractive and Extractive Summaries, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. Proven experience implementing and deploying advanced AI solutions using Python. Apply machine learning algorithms, statistical data analysis, text clustering, summarization, and extracting insights from multiple data points. Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). Handling large amounts of structured and unstructured data. You will design, develop, test, and evaluate production-quality models using the latest Machine Learning and Natural Language Processing techniques. You will work with engineering and product management teams to integrate models and algorithms into production systems. You will investigate new technologies and prototype novel concepts. Qualifications You have a Bachelor\'s degree or Masters (or equivalent experience) in a field relevant to Natural Language Processing, such as Computer Science, Computational Linguistics, Artificial Intelligence, Statistics, or Machine Learning. You have a background in Natural Language Processing, as demonstrated by practical experience building products or research in the field. You have 3-4 years of engineering, data science, machine learning, or modeling experience. You stay current on trends in NLP, with a focus on information extraction, textual inference, question-answering, multi-document summarization, translation, and generation. You have a demonstrated track record of working with high-performing data science teams and are obsessed with doing the right thing, especially when it comes to building AI systems and safeguarding customer data. You are an excellent communicator and are known for your analytical skills. Technical Skills Understanding of mathematical concepts of Statistics, Bayesian, Probability, Linear Algebra, Calculus, and Vectors. Expertise in Python Programming Language with familiarity with frameworks like Tensorflow, PyTorch, sklearn Familiarity with NoSQL databases like MongoDB, Redis, Cassandra, etc. NLP, NLG, NLU, Machine Learning, Deep Learning, Word Embeddings, Sentence Embedding, Document Embedding Deep Learning architectures like CNN, RNN, LSTM, VAE, GAN, and Transformers Worked with LLM pipelines like BERT, GPT3, XLNet, RoBERTa, XLM, BART, LLaMA, Falcon, etc. Unsupervised, Semi-Supervised & Supervised Deep Learning with Model Optimization, Model Deployment and Model Interpretability Experience with either of the following cloud platforms Azure, AWS, GCP. Theoretical Knowledge of Reinforcement Learning

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