Data Science Innovator

1 week ago

Pune, Maharashtra, India Innoplexus Full time

Innoplexus, a pioneering Data as a Service and Continuous Analytics as a Service company, offers cutting-edge solutions leveraging Artificial Intelligence and advanced analytics to accelerate product time-to-market significantly.

Our innovative products utilize proprietary algorithms and patent-pending technologies to provide global Life sciences & Financial services organizations with access to relevant data, real-time intelligence, and intuitive insights across the product life cycle.

We automate the collection, curation, aggregation, analysis, and 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 scalable deep learning algorithms to enhance our products
  • Create state-of-the-art machine learning and neural network methodologies to improve our intelligence platform
  • Apply machine learning & deep learning techniques to design new, scalable solutions for business problems
  • Design NLP & computer vision-based pipelines and technologies for acquiring, parsing, interpreting, and visualizing unstructured data
  • Analyze and extract relevant information from large datasets to optimize key processes
  • Collaborate with the team to build large-scale continuous/online learning systems
  • Establish experimentation-to-production pipelines
  • Stay current with the latest research and technology and communicate knowledge throughout the enterprise
  • Generate IP for Innoplexus through patents and publications

Required Experience:

  • A strong track record of AI/ML publications in renowned scientific journals or conferences
  • Experience in Computer Vision, Image Processing, Speech Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI, Text Mining, Computational Genomics, Bioinformatics, or other Machine Intelligence/Artificial Intelligence areas
  • Familiarity with Graph algorithms and Graph Embeddings (node2vec, graph2vec)
  • Proficiency in Python programming and knowledge of commonly used machine learning tools: pytorch, scikit-learn, gensim, pandas
  • Knowledge and hands-on experience in Computational Genomics and Bioinformatics is beneficial

Salary: $120,000 - $180,000 per year, depending on experience and qualifications

Required Qualification:

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

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