Data Analyst

1 month ago

Pune, Maharashtra, India Innoplexus Full time

Innoplexus is a leading provider of Data as a Service and Continuous Analytics as a Service products, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market.

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 real-world noisy data, large-scale problems
  • Develop highly scalable deep learning algorithms to improve our products
  • Develop state-of-the-art machine learning and neural network methodologies to improve our intelligence platform
  • Use machine learning & deep learning techniques to create new, scalable solutions for business problems
  • Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data
  • Analyse and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processes
  • Help team in building large scale continuous/online learning systems
  • Help team to build experimentation to production pipeline
  • Stay up-to-date with the latest research and technology and communicate your knowledge throughout the enterprise
  • Create IP for Innoplexus through patents and publications

Required 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 Learning and 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, pandas
  • Knowledge and hands-on experience in Computational Genomics and Bioinformatics is good to have

Required qualification:

  • MS in Computer Science, Statistics, Applied Maths or related domain
  • Degree in Computer Science, related Machine Learning field or equivalent practical

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