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:
- Lead and mentor a small team of data scientists in applying existing learning algorithms and develop new ones
- Develop scalable customer-facing solutions over real-world, noisy and unstructured data
- Develop highly scalable deep learning algorithms to improve our platform
- Develop state-of-the-art machine learning and neural network methodologies to improve our intelligence platform
- Cross-functional collaboration between data science and engineering teams to support the integration of finished algorithms and prototypes into products
- Support sales and business development teams to fine-tune client requirements, perform feasibility testing and proposing an approach for solutions
Required Experience :
- Relevant Hands-on Experience in any of the below groups:
- Information Extraction, Text Mining from Unstructured data
- Computational Genomics, Bioinformatics
- Strong in Python programming
- Knowledge commonly used machine learning tools: scikit-learn, pytorch, gensim, pandas
- Experience with major NoSQL products
- Experience in the domain of life sciences is a plus
- Must have experience in leading teams
Required qualification :
Bachelors/Masters/PhD Degree in Computer Science, related Machine Learning field or equivalent from Tier-1 or premier institutes like IIT, IISc, BITS, NIT or globally renowned universities
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