Sr.AI- ML Engineer / Gen AI Lead

Key Skills

Aartificial intelligence, ChatGPT, Data management, Deep Learning, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NoSQL, Python Programming

Job Description

You are proficient in Python and have experience working with machine learning and NLP processing techniques and toolsWorked on NoSQL databases and Vector DBYou have solid experience developing and implementing generative AI models with a strong understanding of deep learning techniques such as GPT VAE and GANsProficient in Langchain LLMYou have strong knowledge of data structures algorithms and software engineering principles Prompt Engineering Engineer prompts an 3. Experience : 14 to 18y 3. Experience : 14 to 18yrs. 4. Required Skills : Technical Skills : Generative AI Domain Skills : Analytics 5. Nice to have skills : Technical Skills : Domain Skills : 6. Technology : Data Management 

• Roles & Responsibilities : Required Skills : Technical Skills : Generative AI Domain Skills : Data Quality Data Standards

Nice to have skills : Technical Skills : Domain Skills :

Technology : Data Management

You are proficient in Python and have experience working with machine learning and NLP processing techniques and toolsWorked on NoSQL databases and Vector DBYou have solid experience developing and implementing generative AI models with a strong understanding of deep learning techniques such as GPT VAE and GANsProficient in Langchain LLMYou 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 eg personalized recommendations Model Evaluation and 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 appResponsibility 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.

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Salary and Other Compensation:

 The annual salary for this position is between $130-150K 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. 

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Feb 06 2024

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.

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