| Machine Learning _Generative AI _ NYC, NY _ Alpharetta, GA at NYC, New York, USA |
| Email: [email protected] |
| From: Suma, Softcom Systems INC [email protected] Reply to: [email protected] Hi, Hope you are doing good. This is Suma from Softcom System, We have below urgent requirements. Please find the below JD and share your interest, Role :: Machine Learning/Generative AI Location: NYC, NY & Alpharetta, GA **Report to office on Day1** Duration: Long Term JD Experienced professional with 6 to 10 years of experience in developing and implementation ML Models. Basic to intermediate knowledge on Generative AI Practical knowledge of Natural Language Processing (NLP) and/or Neural network implementation. Proficiency with Python and ML libraries. Hands on experience using Flask and OOPs concepts. Hands on experience in working with NoSQL databases like MongoDB. Experience working with GIT and basic Unix. Good written and verbal communication skills Experience working in an Agile environment. Ability to work in fast paced and dynamic environment. Good to have Good to have knowledge on ML Ops and respective frameworks/tools. Good to have knowledge on reporting tools like PowerBI Good to have knowledge on Dataware house tools like Snowflake Understanding of modern platforms, design patterns and cloud-based technology offerings Please send below details for submission Full Name: Date of Birth (mm/dd/yyyy): Available from (mm/dd/yyyy): SSN (Last 4 digits): Contact Number: Alternate Number: Email ID: Total IT Experience (Years): Work experience in USA (Years): Previously worked With Infosys : Current Location: Visa Status: Passport No: Skype ID: LinkedIn: Education(Branch & University): Year of Passed Out: Ready for In-person Interview: Ready for Relocation: Availability for Interview (5 Time slots for Next 3 Business Days): Employer Details: Name: Phone: Email: Keywords: artificial intelligence machine learning materials management information technology Georgia Idaho New York |
| [email protected] View all |
| Thu Oct 05 19:24:00 UTC 2023 |