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COMPANY OVERVIEW:

This is a leading operations management and analytics company that helps businesses enhance growth and profitability. The company integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

The Analytics Practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. The company takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. The global footprint of nearly 10,000 data scientists and analysts serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

This US based company has more than 58,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

RESPONSIBILITIES:

• Design, develop, and implement AI and ML solutions to address complex business challenges.
• Utilize deep learning and NLP techniques for tasks such as text extraction, document classification, summarization, named entity recognition (NER), and computer vision.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Develop and optimize predictive models using tabular data and advanced machine learning techniques.
• Stay updated with the latest advancements in AI, ML, DL, NLP, and Gen-AI technologies to continuously enhance model performance.
• Conduct experiments and validate model performance to ensure accuracy and reliability.

PREFERRED PROFILE:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Vast experience in ML, DL, NLP, and Gen-AI solutions.
• Proficiency in Python and experience with AWS SageMaker, Databricks, and other relevant tools.
• Experience with NLP techniques such as OCR-based text extraction, document classification, and summarization.
• Prior experience with large language models (LLMs) and Gen-AI projects.
• Insurance domain experience, specifically in underwriting and claims.
• Palantir Foundry and AIP experience is a plus.
• Strong problem-solving abilities and attention to detail.
• Effective communication skills to collaborate with technical and non-technical stakeholders.

LOCATION: Hybrid role in ATL or NYC

Job ID# 3225661

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