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Machine Learning Scientist

1.00 to 6.00 Years   Hyderabad   05 Feb, 2020
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

Job Responsibilities Machine Learning Scientist, Hyderabad This is an open invitation for India s best in class Machine Learning Scientist - Product Engineering to join the disruptive technology and thought leader in the global Talent Relationship Marketing Cloud Platform. If you live & breath engineering by solving not only engineering problems but are passionate about building state of the art products that help a billion+ job seekers, then welcome to Phenom People. At Phenom we build products that connect right fit talented candidates (job seekers) with companies seeking for Phenomenal talent. We help companies establish, nurture and mature relationship with talented candidates through the hiring life- cycle. Based in Greater Philadelphia area, we server global fortune 500 companies. To know more about Phenom People, visit Looking for talented engineers with interests in Machine Learning & Data Science Build amazing products, you will shape the future of our products What you will do: Design and implement machine learning, information extraction, probabilistic matching algorithms and models Research and develop innovative, scalable and dynamic solutions to hard problems Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head on Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume Be a valued contributor in shaping the future of our products and services You will be part of our Data Science & Algorithms team and collaborate product management and other team members Be part of a fast pace, fun focused, agile team Job Requirements 1+ years of industry experience (Not Mandatory) Ph.d in computer science, information systems, or similar technical field Strong mathematics, statistics, and data analytics Solid coding and engineering skills preferably in Machine Learning (not mandatory) Proficient in Java, Python, and Scala Industry experience building and productionizing end- to- end systems Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc. Ph.D in computer science, information systems, or similar technical field At Phenom People, we believe great people build great companies. We know that there is no difference between marketing and selling products and jobs, so we took CRM best practices and applied them to talent acquisition and built the world s first Talent Relationship Marketing platform. Candidates today are not job hunters; they are savvy shoppers. They expect a certain quality of user experience when browsing jobs, researching companies and applying for positions - an experience traditional recruiting tools and tactics cannot deliver. Welcome to the talent relationship business. TRM is an automated system for managing the talent relationship lifecycle of current and future candidates, driving awareness, interest, engagement and acquisition. Our Phenom TRM platform aligns the objectives, priorities and actions of candidates, recruiters, hiring managers and talent acquisition leaders. Phenom People strives to be the most innovative HR tech company in the world. By offering unique, engaging experiences for candidates, our platform helps put the right opportunity in front of the right person at the right time so you can continue to build phenomenal teams and achieve business goals for years to come. Stop recruiting. Start relationship marketing.,

Keyskills :
ehavioral training user experience data processing data science machine learning data analytics computer science deep learning product management product engineering fortune 500 talent acquisition

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