Data Scientist/ML Engineers || Mountain View CA (Minimum 2 days per week) at Mountain, Wisconsin, USA |
Email: [email protected] |
Minimum 12 years of experience Max rate $65-68 Share resume at [email protected] Role : Data Scientist/ML Engineers Location : Mountain View CA (Minimum 2 days per week) Must have : 1. Python , Java experience 2. FAST API OR Django OR Flask 3. Webservices (SOAP/REST) 5. experience in design and maintenance of Highly Available (HA) microservices based applications. Roles and responsibilities: Gathering functional requirements, developing technical specifications, test planning. Designing and developing software, prototypes, or proof of concept (POCs) Resolve defects / bugs during testing cycle. Contribute to design and architecture of the project. Hands on coding with some AI background Be on call rotation for US hours. Agile development experience Mandatory Qualifications: 6+ years of experience developing web, software, or mobile applications. BS / MS in Computer Science or equivalent work experience Cloud Experience AWS, GCP or Azure 5+ years of experience with webservices (consuming or creating) with REST or SOAP. Strong experience in Python developing, maintaining, and innovating large scale applications. Experience with the ML Tools like LangChain, FastAPI Basic experience with generative AI, LLM operations, AI assistant, prompt engineering, embeddings, AI background, machine learning. Experience with cloud / SaaS, big data, or analytics Thanks & Regards Mohd Saif Khan || Designation - Recruitment Manager [email protected] || www.signinsol.com || Contact number-814-651-6955 Please follow to receive more updates . To be removed from our mailing list, please reply with "REMOVE" in the subject heading and your email address in the body. Include complete address and/or domain/ aliases to be removed. this mail cannot be considered Spam as long as we include contact information -- Keywords: artificial intelligence machine learning information technology microsoft California |
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Fri Nov 03 01:55:00 UTC 2023 |