Associate Data Scientist

3 weeks ago

Pune, India Innoplexus Full time
Innoplexus offers Data as a Service and

Continuous Analytics as a Service products, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.

Our products leverage proprietary algorithms and patent pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real time intelligence & intuitive insights, across the life cycle of the products.We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.Key Responsibilities:Develop solutions for realworld noisy data, large-scale problemsDevelop highly scalable deep learning algorithms to improve our productsDevelop state-of-the-art machine learning and neural network methodologies to improve our intelligence platformUse machine learning & deep learning techniques to create new, scalable solutions for business problemsDevelop NLP & computer vision-based pipelines and technologies for acquiring, parsing, interpreting and visualizing unstructured dataAnalyse and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processesHelp team in building large scale continuous /online learning systemsHelp team to build experimentation to production pipelineStay current with the latest research and technology and communicate your knowledge throughout the enterpriseCreate IP for Innoplexus through patents and publicationsRequired Experience:Strong track record in AI/ML publications in renowned scientific journals or conferences.Experience in any of the following: Computer Vision, Image Processing, Speech Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI, Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.Experience in Graph algorithms and Graph Embeddings(node2vec, graph2vec)Strong in Python programming Knowledge of commonly used machine learning tools: pytorch, scikit-learn, gensim, pandasKnowledge and hands-on experience in Computational Genomics and Bioinformatics is good to haveRequired qualification:MS in Computer Science, Statistics, Applied Maths or related domainDegree in Computer Science, related Machine Learning field or equivalent practical

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