Help define and refine project scopes, goals, and metrics
Seek scientifically valid solutions that deliver real value to the customers
Carefully measure your output and impact in order to learn and improve over time
Collaborate with Operations team to ensure the quality of any human-labeled data required
Build Machine Learning models and data pipelines to deliver insightful yet practical solutions
Engage with the Science community promote standard scientific methodologies and processes in your field
Present key technical and novel research work in public forums and conferences
Minimum Qualifications :
BE / B.Tech with 5+ years of relevant Industry experience.
Post Grad from in Computer Science, Statistics and Mathematics with 3+ years of relevant experience.
Industrial experience with one or more of the following : classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
Experience in Production-grade coding in a high-level language such as Python or Java
Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark
Excellent verbal and written communication and collaboration skills
Additional Qualifications :
2 or more related publications in quality conferences or journals
Open source tool building / commits to popular threads.
Experience on Language models and KG building
(ref : hirist.tech)
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Applied Researcher - Machine Learning • Bangalore
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