- Identify and implement appropriate tooling and frameworks
- Conceptualize, design, and develop NLP applications
- Contribute to highquality publications or patents
- Develop innovative solutions for problems associated with untagged, unstructured data
- Work on classification, clustering, and embeddings to enhance language understanding systems
- Use opensource products to facilitate efficient data annotation
- Tackle various machine learning problems involving multiple models
- Provide support for both new projects and maintain existing models
- Perform indepth data analysis on text data to derive valuable insights
- Conduct experimentation with different models to optimize performance
- Implement automonitoring mechanisms for models in production
- Bachelor's degree in computer science/Data Science/Business analytics or engineering with a focus on NLP
- 2.5+ years of practical relevant experience
- Proven expertise in NLP applications, with a focus on untagged, unstructured data
- Experience with classification, clustering, and embeddings in the context of text data
- Strong analytical skills for data analysis and interpretation of textual and unstructured data
- Proactive approach to problemsolving and experimentation with various models
- Effective communication and collaboration within a team environment
- Expertise in machine learning platforms, frameworks, and libraries like pandas, transformers, pytorch and Langchain
- Profound understanding of NLP techniques for text representation, semantic extraction, data structures, and modeling
- Proficient in Python programming and database programming language for Relational and Non-Relational databases.
- Documentation experience for complex software components
- Experience in the entire product lifecycle design, development, quality, deployment, and maintenance
- Solid understanding of data annotation strategies for untagged text data
- Creative problemsolving skills
- Knowledge of automonitoring techniques for models in production
- Master's degree in computer science/Data Science/Business analytics or engineering with a focus on NLP
- Familiarity with the latest advancements in NLP and machine learning e.g. Vector databases and LLMs
- Ability to adapt and thrive in a dynamic, fastpaced work environment
- Proficiency in opensource solutions for data annotation
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Artificial Intelligence/Machine Learning Engineer - noida, India - Gigaforce
Description
About Us :
Gigaforce is a California based InsurTech provider of a SaaS-based, blockchain-optimized, claims platform which combines artificial intelligence (AI)-driven predictive models, specialized expertise, and customized services to expedite subrogation, recovery, and salvage processing for insurance ecosystems, including insurers, law firms, and third-party adjusters.
Despite being young, we were one of the finalists in InsurtechNY, a highly-respected community based organization which accelerates insurance innovation in the New York metro area.
We were also selected from a large base of Insurtech companies, by Plug and Play Tech Center, the world's largest early stage investor, accelerator, and corporate innovation platform with global headquarters in Sunnyvale, California, as part of their recent Fall batch.
We work on cutting edge, truly relevant technologies such as Artificial Intelligence, Machine Learning, Robotics Processing Automation, Blockchain, Big Data, Cloud Computing, Java, Kotlin, Angular, Node Js and many others.
We are thought leaders in the insurance-in-technology space and are committed to hiring the very best workforce to keep up with the pace of our rapidly growing company.
Some of the bestin-class perks we offer include comprehensive medical insurance, paid time off, meals cards, a hybrid work model, ESOPs, an opportunity to work in the US, among others.
As an equal opportunity employer, we welcome and encourage diversity in the workplace regardless of gender, race, color, ethnicity, origin, age, religion, sexual orientation or any other characteristics protected by law.
We are in search of a highly skilled Data Scientist specializing in Natural Language Processing (NLP) applications.The ideal candidate will have a profound understanding of working with untagged, unstructured data and possess expertise in solving complex problems related to text data.
As a key member of our team, you will be responsible for building classification, clustering, and embeddings related models, using open-source solutions for data annotation, and addressing multiple model machine learning challenges.
Key Responsibilities :
Required Skills :
Preferred Skills :