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Job Location drjobs

Dallas - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job :AI/ML Engineer (Generative AI)
Location : Dallas TX (Local Candidates Only) Hybrid/Onsite
Experience : 8Yrs

Please Find the Below Requirement If Youre Interested Please Share Me your Updated Resume To


Job Description:
We are seeking a highly skilled AI/ML Engineer with expertise in Generative AI Python NumPy Pandas AWS and GCP to join our innovative team in Dallas TX. The ideal candidate will have 78 years of experience in designing developing and deploying AI/ML models and solutions particularly leveraging LLMs (Large Language Models) deep learning frameworks and cloud services.

Key Responsibilities:
Develop train and optimize Generative AI models (GPT BERT LLaMA T5 etc.) for various business applications.
Design and implement machine learning pipelines using Python NumPy Pandas and cloudbased services (AWS/GCP).
Work with LLMs transformers diffusion models and NLP techniques to improve AIdriven solutions.
Develop scalable AI/ML solutions on AWS (SageMaker Lambda Bedrock S3 DynamoDB EC2) and GCP (Vertex AI BigQuery Cloud Functions AI Platform).
Implement data preprocessing feature engineering and model tuning to enhance model performance.
Deploy AI/ML models using MLOps best practices ensuring model monitoring retraining and performance optimization.
Collaborate with crossfunctional teams to integrate AI solutions into existing applications and business processes.
Stay updated on cuttingedge AI research and advancements in Generative AI deep learning and cloud AI services.
Required Skills & Experience:
78 years of experience in AI/ML engineering with a strong focus on Generative AI and Deep Learning.
Proficiency in Python with handson experience using NumPy Pandas TensorFlow PyTorch or JAX.
Expertise in LLMs transformers and finetuning pretrained models for realworld applications.
Strong experience with AWS (SageMaker Bedrock Lambda DynamoDB S3) and GCP (Vertex AI AI Platform BigQuery).
Handson experience in building deploying and monitoring AI/ML models at scale.
Knowledge of MLOps tools like MLflow Kubeflow Airflow Docker Kubernetes and CI/CD pipelines.
Experience with data engineering pipelines ETL workflows and distributed computing (Spark Dask Ray etc.).
Strong understanding of Neural Networks Transformers CNNs RNNs GANs and NLP techniques.
Excellent problemsolving skills and ability to work in a fastpaced collaborative environment.

Employment Type

Full Time

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