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Job Title - AI/ML Engineer
Location - Irving, TX
Job Type- Full Time
Key Responsibilities
- Model Development: Design, build, and optimize machine learning models for predictive analytics, classification, recommendation systems, and NLP.
- Data Processing: Collect, clean, and preprocess large datasets from various sources for training and evaluation.
- Deployment: Implement and deploy ML models into production environments using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and scalability.
- Collaboration: Work closely with data engineers, software developers, and product teams to integrate AI solutions into applications.
- Research & Innovation: Stay updated with the latest advancements in AI/ML and apply cutting-edge techniques to business challenges.
- Documentation: Maintain clear documentation of models, processes, and workflows.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Strong proficiency in Python, R, or Java.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Familiarity with big data technologies (Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
Preferred Qualifications
- Experience in Natural Language Processing (NLP), Computer Vision, or Deep Learning.
- Understanding of model interpretability and ethical AI practices.
- Prior experience deploying models in production environments.
Key Skills
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