NTT DATA North America ยท 16 hours ago
AI Engineer
Dallas, TX
Full-time
Remote
Mid, Senior Level
$60/hr - $65/hr
5+ years exp
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Responsibilities
Design, develop, and deploy generative AI models and LLMs for healthcare applications.
Implement and evaluate agentic solutions that automate and enhance user interactions.
Develop and optimize retrieval-augmented generation (RAG) pipelines for enhanced information retrieval and response generation.
Collaborate with cross-functional teams to define AI product requirements, project specifications, and system architectures.
Preprocess and analyze large datasets to extract meaningful insights that drive model training and optimization.
Conduct thorough evaluations and experiments to validate and iterate on model performance, ensuring reliability and scalability.
Integrate closed and open-source AI models seamlessly into production environments.
Maintain, monitor, and improve the performance of existing AI systems, ensuring their scalability and alignment with organizational objectives.
Document processes, methodologies, and findings, clearly communicating complex technical concepts to non-technical stakeholders through reports and presentations.
Stay current with the latest advancements in generative AI, LLM development, and related technologies to continually enhance product capabilities.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
5+ years of experience in AI/ML engineering or a related role.
Proficiency in programming languages such as Python, and experience with frameworks like TensorFlow, PyTorch, Hugging Face, Keras, Scikit-learn, etc.
Proven experience in developing and deploying production-grade applications and services using ML/AI models, including large language models (LLMs), retrieval augmented generation (RAG) systems, evals, agentic framework.
Comprehensive understanding of various ML/AI models, including RAG systems, with the ability to evaluate and recommend models and technical approach for different scenarios. Strong grasp of architecture, performance optimization, and trade-offs between different AI methodologies.
Hands-on experience with fine-tuning and/or training AI models, backed by a track record of measurable performance improvements.
Proficiency in designing AI model training pipelines, working with large datasets, and utilizing advanced tools for AI model customization.
Strong understanding of algorithms, data structures, and statistical methods.
Experience with AI architecture patterns and cloud-based deployment strategies (Azure AI preferred).
Ability to work with both closed and open-source models, optimizing their integration for product needs.
Strong analytical and problem-solving skills with the ability to work collaboratively in a fast-paced environment.
Strong communication skills and team player with the ability to work collaboratively with cross-functional teams including non-technical stakeholders.
Preferred
Experience in developing and deploying multi-agent systems or frameworks.
Knowledge of generative AI use cases specific to healthcare.
Familiarity with MLOps practices for automating and scaling model deployment.
An understanding of ethical considerations in AI development and deployment.
Benefits
Medical, dental, and vision insurance
Flexible spending or health savings account
Life, and AD&D insurance
Short-and long-term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally required benefits
Company
NTT DATA North America
NTT DATA, Inc. is a trusted global innovator of business and technology services.
10001+ employees
H1B Sponsorship
NTT DATA North America has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (185)
2022 (731)
2021 (838)
2020 (1190)
Funding
Current Stage
Late StageLeadership Team
Bob Pryor
Chief Executive Officer
Bonnie Holub
VP Consulting
Recent News
2024-11-29
2024-11-29
2023-12-26
Company data provided by crunchbase
