What are the responsibilities and job description for the AI/ML Engineer position at Jobs via Dice?
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Job Description:
Job Description:
- Model Development: Designing, training, and testing machine learning (ML) and deep learning algorithms.
- Gen AI & LLMs: Fine-tuning Large Language Models (LLMs) and implementing prompt engineering strategies.
- Production Deployment: Deploying models into scalable, production-grade applications using MLOps practices.
- Data Engineering: Preparing, cleaning, and managing data, including feature engineering and working with vector databases.
- Performance Monitoring: Monitoring model performance, latency, and drift, ensuring efficiency and accuracy.
- Collaboration: Working with researchers, data scientists, and engineers to translate business requirements into technical AI solutions.
- Programming: Proficiency in Python, Java, or R.
- Frameworks: Deep learning frameworks like TensorFlow, Py Torch, or Hugging Face.
- Cloud Platforms: Experience with AWS, Azure, or Google Cloud Services.
- Mathematics: Strong understanding of statistics, probability, and algorithms.
- Education: Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
- Experience with NLP techniques and speech applications.
- Familiarity with containerization (Docker, Kubernetes).
- 5–7 years of experience in ML or software development.