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| Job Location | Thiruvanananthapuram |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Data Science Manager- R D Qualification and Experience:M.Tech / M.E / MS / M.Sc / Ph.D ; 2+ YearsData Science Manager- R D M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/ or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning A CGPA of 7.5/ 10 or above in UG as well as PG level (in case of percentage, 70% or above) 2+ Years Responsibilities Responsible for applied research, development and validation of advanced machine learning and AI algorithms for solving complex real- world problems at scale Work closely with product team to understand business problems and product vision to come up with innovative algorithmic solutions Create prototypes and demonstrations to validate/ establish innovative ideas and translate research outcomes to productized innovation by working with AI Engineers and/ or software engineers Create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate Document and protect intellectual property (IP) generated from R D efforts by collaborating with designated teams and/ or external agencies Mentor junior staff to ensure that correct procedures are followed; collaborate with stakeholders, academic/ research partners and peer researchers to deliver tangible outcomes Requirements of the role The candidate is expected to be strong in fundamentals of computer science as well as in analyzing and designing AI/ Machine learning algorithms Hands- on experience in at least two of the following areas are required : Supervised, unsupervised and semi- supervised machine learning algorithms Knowledge based systems (knowledge representation, reasoning and planning; FOL, ontologies etc.) Streaming, incremental and non- stationary learning Candidate should be strong in at least one programming language, and should have experience in implementing AI/ machine learning algorithms in python or R Experience with tools/ frameworks/ libraries such as Jupyter/ Zeppelin, scikit- learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. would be desirable Applied research experience of at least 2 5 years on real- world problems using AI/ Machine Learning techniques At least one publication in a top tier conference/ journal related to AI/ Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM etc.) and/ or patents Experience in contributing to open- source projects related to AI/ Machine Learning would be a strong plus,
Keyskills :
data scienceapache spark product visioncomputer science machine learningapplied research external agenciessoftware engineers