Data Scientist With Gen AI / Gen AI Engineer

Key Skills

ChatGPT, GANs, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NoSQL, Python Programming

Job Description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all resourceful, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into insightful, relevant intelligence.

Role: Data Scientist with Gen AI / Gen AI Engineer

Location: Remote

Responsibility:

• Collaborating with multi-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.

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 LLMs performance on specific tasks e.g., personalized recommendations.
• Model Evaluation & Optimization: Evaluate LLMs 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 LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.

#li-sw1

#CB

#Ind123

Salary and Other Compensation:

The annual salary for this position is between $[150,000-$175,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, 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.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Sep 27 2023

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all resourceful, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into insightful, relevant intelligence.

Role: Data Scientist with Gen AI / Gen AI Engineer

Location: Remote

Responsibility:

• Collaborating with multi-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.

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 LLMs performance on specific tasks e.g., personalized recommendations.
• Model Evaluation & Optimization: Evaluate LLMs 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 LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.

#li-sw1

#CB

#Ind123

Salary and Other Compensation:

The annual salary for this position is between $[150,000-$175,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, 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.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Sep 27 2023