AI Engineer

Cary, NC, US • Posted 15 hours ago • Updated 15 hours ago
Full Time
No Travel Required
On-site
$100,000 - $120,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Python
  • SQL
  • NumPy
  • Pandas
  • PyTorch
  • Algorithms
  • Amazon Web Services
  • OpenAI
  • Azure OpenAI
  • Hugging Face
  • MLflow
  • Google Cloud Platform
  • Machine Learning (ML)
  • Artificial Intelligence
  • Big Data
  • Data Processing

Summary

Role:                    AI Engineer

Location:            Cary, NC (Onsite)

Type:                   Fulltime role with Tata Consultancy Services

 

Job Description:

Must Have Technical/Functional Skills:

·       Strong programming skills in Python (mandatory)

·       Solid understanding of machine learning algorithms and statistics

·       Hands on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)

·       Experience working with structured and unstructured data

·       Knowledge of SQL and data processing libraries (Pandas, NumPy)

·       Experience deploying models using APIs, Docker, and cloud platforms (AWS/Azure/Google Cloud Platform)

·       Familiarity with Git, CI/CD pipelines, and software engineering best practices

 

Preferred Skills (Good to Have):

·       Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, Hugging Face)

·       Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)

·       Experience with big data technologies (Spark, Databricks)

·       Exposure to computer vision or NLP use cases

 

Roles & Responsibilities:

·       Design, develop, and deploy machine learning and AI models for business applications

·       Build and optimize data pipelines for model training, validation, and inference

·       Implement algorithms using Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)

·       Integrate AI models into applications using REST APIs, microservices, or cloud services

·       Perform model evaluation, tuning, and performance optimization

·       Monitor models in production for accuracy, drift, and reliability

·       Collaborate with product managers, data scientists, and engineers to translate requirements into AI solutions

·       Implement MLOps practices including versioning, CI/CD, and automated deployments

·       Ensure adherence to Responsible AI, security, data privacy, and compliance standards

·       Document models, pipelines, and deployment procedures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91173160
  • Position Id: 8937020
  • Posted 15 hours ago
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