Gen AI Solution Engineer- Onsite

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.

This role is not open to candidates who require visa sponsorship. We are only considering candidates who do not need visa sponsorship.

We are seeking an experienced Software Engineer with 7 to 10 years of expertise in advanced data analysis and machine learning techniques. The ideal candidate will have a strong background in statistics AI and cloud-based services and will contribute to innovative projects that drive business growth. This hybrid role offers the opportunity to work on cutting-edge technologies in a dynamic environment with a focus on impactful solutions.

Responsibilities

• Develop and implement machine learning models to solve complex business problems and enhance decision-making processes.
• Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and management.
• Conduct exploratory data analysis (EDA) to uncover insights and patterns in large datasets.
• Leverage Airflow for efficient data pipeline orchestration and automation.
• Apply knowledge graph techniques to improve data connectivity and retrieval.
• Implement ML Ops practices to ensure robust and scalable machine learning operations.
• Utilize OpenCV for computer vision tasks and enhance image processing capabilities.
• Integrate natural language processing (NLP) and deep learning techniques to improve text analysis and understanding.
• Employ PyTorch and TensorFlow for developing and optimizing deep learning models.
• Use R Statistical Package and Python for data manipulation analysis and visualization.
• Enhance search engine optimization (SEO) strategies using data-driven insights.
• Collaborate with cross-functional teams to align data science initiatives with business objectives.
• Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.

Qualifications

• Demonstrate proficiency in statistics and machine learning algorithms.
• Exhibit expertise in Azure Open AI Service and cloud-based machine learning platforms.
• Show experience in exploratory data analysis and data visualization techniques.
• Possess strong skills in Python and R for data analysis and model development.
• Have a solid understanding of ML Ops and model deployment best practices.
• Experience in natural language processing and deep learning frameworks is essential.
• Familiarity with computer vision and image processing using OpenCV is beneficial.
• Knowledge of search engine optimization techniques is advantageous.
• Experience in the Listing & Finding Services domain is a plus.

Technical Competencies:

Applicants will be accepted till 9/30/2025

The annual salary for this position will be in the range of $100K-$105K 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.

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!

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