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Python Lead with LLM Experience na Cognizant

Cognizant · Unknown, Estados Unidos Da América · Onsite

US$ 60.000,00  -  US$ 130.000,00

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%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22color:black;font-size:22.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-themecolor:text1;%22%3E%3Cstrong%3EPython Lead with LLM Experience%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cstrong%3ERequirement Summary:%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E1.    Resources should have strong python programming is the key critical skills and having exposure to Gen AI or LLMs.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E2.    The core cloud platform would be AWS for 75% of their needs%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E3.    The expectation is each of the 5 resources would be on different POD teams – one could be doing openAPI, one could be google dialog flow, one could be on nova sonic/AWS platform. They want to decide it they can use AWS strands as their multi agent framework or not.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E4.    The onsite lead is expected to be senior lead who can track daily status from all these team members on daily basis, proactively communicate on daily basis, track the tasks/deliverables, report and help them with the analysis across platforms and ensure deliverables are met from the team. So, onsite lead should be at least M or SM level, who can help facilitate %26amp; work with multiple technologies with customer %26amp; internal teams, with strength in preferably AWS/Strands Agentic AI platform, in my opinion.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E5.    They expect these team members to do the analysis, PoCs as per each of the assigned POD tasks and deliver and contribute actively with recommendations.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E6.    There could be work related to data pipelines, etc to setup on AWS platform for the most part.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cstrong%3ESkill Sets:%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3ELead –%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EShould have led a team%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EShould be articulate%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EShould have strong theoretical knowledge on LLM, Agentic AI etc%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EShould be hands on strong Python Developer to assist the team when required%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EShould have analytical skills to evaluate the LLM performance based on prompts and guide the team%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cstrong%3ELLM they will work with are%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3ENovasonic%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EOpenAI%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3ENova lite and other models from AWS bedrock%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EAgentic frameworks , they should know what they are but not having implemented is still fine provided good at Python%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EStrands%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3ELangGraph%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EEven ADK is fine%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cstrong%3ESalary and Other Compensation:%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EApplications will be accepted until 10/31/2025.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EThe annual salary for this position is between %24 60,000– %24 130,000 depending on experience and other qualifications of the successful candidate.%3Cspan style=%22color:black;font-family:%26quot;Arial%26quot;,sans-serif;font-size:8.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-font-kerning:0pt;mso-ligatures:none;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EThis position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3EBenefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cul style=%22margin-top:0in;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3EMedical/Dental/Vision/Life Insurance%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3EPaid holidays plus Paid Time Off%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3E401(k) plan and contributions%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3ELong-term/Short-term Disability%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3EPaid Parental Leave%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list .5in;%22%3EEmployee Stock Purchase Plan%3Co:p%3E%3C/o:p%3E%3C/li%3E%3C/ul%3E%3Cp class=%22paragraph%22 style=%22margin:0in;vertical-align:baseline;%22%3E%3Cspan style=%22font-family:%26quot;Aptos%26quot;,sans-serif;%22%3E%3Cspan style=%22mso-ascii-theme-font:minor-latin;mso-bidi-font-family:%26quot;Times New Roman%26quot;;mso-bidi-theme-font:minor-bidi;mso-fareast-font-family:Aptos;mso-fareast-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;%22%3EDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.%26nbsp;%26nbsp;%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22paragraph%22 style=%22margin:0in;vertical-align:baseline;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan class=%22eop%22 style=%22mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-fareast-theme-font:major-fareast;%22%3E%26nbsp;%3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Segoe UI%26quot;,sans-serif;font-size:9.0pt;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22color:#E8E8E8;%22%3E%3Cspan style=%22mso-themecolor:background2;%22%3E#LI-CN1%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22color:#E8E8E8;%22%3E%3Cspan style=%22mso-themecolor:background2;%22%3EIND123%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E
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