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Job Description

Job Responsibilities :

- 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


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