Cognizant Technology Solutions
Data Scientist with Gen AI / Gen AI Engineer
Cognizant Technology Solutions, Dallas, Texas, United States, 75215
Data Scientist with Gen AI / Gen AI Engineer
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.
Response Quality: Collaborate with ML and Integration engineers to leverage LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.
Responsibilities
By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need.
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.
Qualifications
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.
Response Quality: Collaborate with ML and Integration engineers to leverage LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.
Benefits
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.
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.
We are Cognizant - AIA - Artificial Intelligence and Analytics.
Location: Remote.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
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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.
Response Quality: Collaborate with ML and Integration engineers to leverage LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.
Responsibilities
By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need.
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.
Qualifications
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.
Response Quality: Collaborate with ML and Integration engineers to leverage LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.
Benefits
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.
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.
We are Cognizant - AIA - Artificial Intelligence and Analytics.
Location: Remote.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
#J-18808-Ljbffr