Job Title: AI Engineer
Location: Richardson, TX ||Hybrid
Employment Type: Long-term Contract
Job Summary:
We are looking for a talented AI Engineer to design, develop, and deploy artificial intelligence and machine learning solutions for enterprise-scale applications. The ideal candidate will have strong expertise in ML model development, data engineering, and cloud-based AI services, with the ability to work across the full AI/ML lifecycle—from data preparation to production deployment.
Key Responsibilities:
- Design, develop, and train machine learning (ML) and deep learning (DL) models.
- Preprocess, clean, and transform structured and unstructured datasets for modeling.
- Implement, test, and optimize algorithms for performance, scalability, and accuracy.
- Deploy AI/ML models into production environments using cloud-based services (Azure/AWS/GCP).
- Work closely with data scientists, data engineers, and software developers to integrate AI solutions into applications.
- Monitor model performance and retrain or fine-tune as needed to maintain accuracy over time.
- Research and experiment with new AI frameworks, tools, and techniques to improve solutions.
- Document models, workflows, and deployment processes for maintainability and compliance.
Required Skills & Qualifications:
- 8+ years of experience in AI/ML engineering or applied data science.
- Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Strong understanding of ML algorithms, neural networks, NLP, and computer vision concepts.
- Experience with cloud AI/ML services (Azure Machine Learning, AWS SageMaker, GCP Vertex AI).
- Familiarity with MLOps practices, including CI/CD for ML and model monitoring.
- Proficiency in working with SQL and NoSQL databases.
- Strong problem-solving and analytical skills.
Nice-to-Have:
- Experience with LLMs (Large Language Models) and generative AI solutions.
- Exposure to data engineering tools like Spark, Databricks, or Kafka.
- Knowledge of containerization (Docker) and orchestration (Kubernetes) for AI workloads.
