Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
Key Responsibilities:
- Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
- Responsible for AI model delivery to on-prem infrastructure and cloud platforms (Azure ML / Azure Open AI)
- Collaborating with Data scientist to optimize the scoring pipeline.
- Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
- Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
- Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
- Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
- Participate in day-to-day standups for platform capability build.
- Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
- Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
- Support Production Issues partnering with production support.
Key Requirements:
- 5+ years of Python experience
- 5+ years of big data experience needed (Big Query, Hadoop)
- 3 years of experience in AIML area (MLOps)
- 2+ years of experience in developing APIs using Python/FastAPI.
- Good to have 1+year of experience in LLM, Generative AI (developing capabilities or dev/ops)
- Good to have Experience in developing of API on Azure/API Gateways
- Good to have 1+year of experience in Vector Database, Model Development would be added benefit.
Salary and Other Compensation:
The annual salary for this position is between $110,000 – $ 140,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: 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. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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