Part TimeFull Time Online DataEntry Work Job Description This is PartFull time Job We are developing our Search Engine like just Dial and Sulekha. In Our search Engine copy and Paste the is our work. We provide complete
About our client:Our client is Singapore’s national media network and largest content creator. Its purpose is to create engaging and trusted content, as well as to connect communities and inspire people. It engages over
With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear:resistant solutions. Customers across aerospace, earthworks, energy, g
Department: Data Systems and Automation (DSA) Are you passionate about what you are doing? Do you want to build excellence within processes in the most efficient way? Do you have an innovative mindset to drive change in
Department: Global Medical Affairs : Regions and Operations. Are you passionate about quality and simplification? Do you want to build quality within processes in the most efficient way? Do you have an innovative mindset
Department: Commercial Analytics Are you passionate about using data to drive business insights and recommendations? Do you have experience in developing and deploying machine learning models? We are looking for a talent
About Lubrizol The Lubrizol Corporation, a Berkshire Hathaway company, is a specialty chemical company whose science delivers sustainable solutions to advance mobility, improve wellbeing and enhance modern life. Founded
. Job Title: Senior Data Engineer Company: Cimpress Experience: 5+ years Location: Mumbai Job Type: Full:time Job Description: Cimpress is seeking a highly skilled and motivated Senior Data Engineer to join our dynamic t
Department : Digital Supply Chain Does your motivation come from challenges and working in a dynamic environment? Do you thrive in a working environment where close collaboration with key stakeholders and strategic align
R oles and Responsibilities:: : Designing ML systems. : Researching and implementing ML algorithms and tools. : Selecting appropriate data sets. Picking appropriate data representation methods. : Identifying differences