Best IT Training Institutes in Chennai with Placement | DeepNeuron

Job Summary

We are looking for a highly skilled Data Scientist with 6-8 years of professional experience to join our innovative team. The ideal candidate will bring deep expertise in Azure Open AI Service, exploratory data analysis (EDA), machine learning, OpenCV, artificial intelligence, natural language processing, deep learning, AI-enabled chatbots, and Python. Experience in Medicare & Medicaid Claims and Payer domains is essential. This hybrid role features day shifts with no travel required.

Key Responsibilities

• Advanced Model Development:
  Lead the design, development, and implementation of sophisticated data models and algorithms to address complex business challenges.

• Exploratory Data Analysis:
  Oversee comprehensive data analyses to uncover trends and patterns in large datasets.

• Azure Open AI Service Expertise:
  Leverage Azure Open AI Service to enhance and expand AI-driven solutions.

• Machine Learning Applications:
  Develop and deploy machine learning models to drive improved decision-making processes.

• Computer Vision:
  Utilize OpenCV for image processing and computer vision projects.

• Automation & Optimization:
  Implement artificial intelligence solutions to automate and streamline workflows.

• Natural Language Processing:
  Apply NLP techniques to analyze unstructured data effectively.

• Deep Learning Solutions:
  Design, build, and refine deep learning models for diverse applications.

• AI-Enabled Chatbots:
  Develop and maintain chatbots that enhance customer interactions.

• Python Programming:
  Use Python for data manipulation, analysis, and efficient model development.

• Cross-Functional Collaboration:
  Work closely with various teams to integrate AI solutions into existing systems.

• Data Security:
  Maintain data integrity and ensure robust security throughout all stages of the data lifecycle.

• Performance Monitoring:
  Continuously monitor, evaluate, and optimize the performance of deployed AI models.

Qualifications

• Technical Expertise:
  Strong command of Azure Open AI Service, EDA, machine learning, OpenCV, artificial intelligence, natural language processing, deep learning, AI-enabled chatbots, and Python.

• Domain Experience:
  Extensive experience in Medicare & Medicaid Claims and Payer domains.

• Analytical Skills:
  Excellent problem-solving abilities and an analytical mindset.

• Communication & Teamwork:
  Proven ability to collaborate effectively in cross-functional teams.

• Data Management:
  Proficient in handling large datasets and complex data structures.

• Data Privacy & Security:
  Deep understanding of data privacy and security principles.

About Cognizant

Cognizant is a global leader in professional services, dedicated to transforming our clients’ business, operational, and technology models for the digital era. With headquarters in the United States and a global workforce of over 300,000 associates, we combine industry insights with innovative technology to help our clients envision, build, and run more efficient and agile businesses. Recognized as a member of the NASDAQ-100 and one of Forbes’ World’s Best Employers 2024, Cognizant is consistently listed among the most admired companies in the world.

Learn more about how we drive digital transformation at www.cognizant.com.

Our Commitment to Diversity and Inclusion

At Cognizant, we believe in building a workplace where every individual feels heard, accepted, and valued. We are an equal opportunity employer that champions diversity, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by law.

Disclaimer

• Compensation Details:
  Compensation information is accurate as of the posting date. Cognizant reserves the right to modify this information at any time in accordance with applicable laws.

• Interview Process:
  Applicants may be required to attend interviews in person or via video conferencing. Candidates must also present a valid state or government-issued ID during each interview session.

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