Address
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We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *
This is a remote position open to any qualified applicant in the United States
Job Title: Gen AI Data Scientist/Architect
Must Have Skills
Skill Requirements:
• You are proficient in Python and have experience working with machine learning and NLP processing techniques and tools
• Worked on NoSQL databases and Vector DB
• You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Proficient in Langchain, LLM
• You have strong knowledge of data structures, algorithms, and software engineering principles.
• Prompt Engineering : Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
• Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
• Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
Responsibility:
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
Salary and Other Compensation :
The annual salary for this position is between $160,000k-$180,000k 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:
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.
#LIMO1 #CB #Ind123
Qualifications
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Generative AI
PL1
Required
Domain Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Data governance
NA
Required
2
Data Quality
NA
Required
* Proficiency Legends
Proficiency Level
Generic Reference
PL1
The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2
The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3
The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4
The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *
This is a remote position open to any qualified applicant in the United States
Job Title: Gen AI Data Scientist/Architect
Must Have Skills
- Generative AI
- Data governance
- Data Quality
Skill Requirements:
• You are proficient in Python and have experience working with machine learning and NLP processing techniques and tools
• Worked on NoSQL databases and Vector DB
• You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Proficient in Langchain, LLM
• You have strong knowledge of data structures, algorithms, and software engineering principles.
• Prompt Engineering : Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
• Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
• Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
Responsibility:
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
Salary and Other Compensation :
The annual salary for this position is between $160,000k-$180,000k 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.
#LIMO1 #CB #Ind123
Qualifications
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Generative AI
PL1
Required
Domain Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Data governance
NA
Required
2
Data Quality
NA
Required
* Proficiency Legends
Proficiency Level
Generic Reference
PL1
The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2
The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3
The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4
The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
