Crypto Operations Specialist

Pb Consulting; Grand Prairie (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Pb Consulting seeks a skilled Generative AI Engineer to design, develop, and deploy enterprise AI solutions. The ideal candidate will be proficient in Python and ML frameworks, with hands-on experience with LLMs such as Dolly-like models and open-source ecosystems.

You will collaborate across disciplines to translate business needs into scalable AI capable of data-rich decision support, automation, and responsible AI practices, with cloud integration and rigorous model evaluation.

Qualifications

• Degree in CS/AI/DS/Engineering or related field.
• Experience designing and deploying enterprise Generative AI solutions.
• Ability to work in cross-functional teams in an agile environment.

Responsibilities

• Design, develop, and implement advanced Generative AI solutions.
• Collaborate with engineers, product managers, and stakeholders to translate needs into AI systems.
• Prepare data for training, fine-tuning, and evaluation of models.
• Develop and optimize ML/DL/NLP models for enterprise apps.
• Deploy Generative AI using LLMs, text generation, and image generation techniques.
• Evaluate architectures, hyperparameters, and performance metrics.

Skills

Python proficiency

LLMs experience

ML/DL/NLP knowledge

Generative AI techniques

Data preprocessing and SQL

Model evaluation and tuning

Analytical and communication skills

Education

Bachelor's or Master's in CS/AI/DS/Engineering

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities

• Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.
• Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.
• Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.
• Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.
• Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.
• Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.
• Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.
• Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.
• Participate in model testing, deployment, monitoring, and continuous improvement.
• Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills

• Strong proficiency in Python with major machine learning and deep learning libraries.
• Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.
• Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.
• Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).
• Experience with data preprocessing, feature engineering, SQL, and data manipulation.
• Familiarity with AI model evaluation, optimization, and hyperparameter tuning.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience developing AI applications in both on-premises and cloud environments.
• Knowledge of CI/CD pipelines and AI application deployment practices.
• Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Experience designing, developing, and deploying enterprise AI or Generative AI solutions.
• Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.