AIML Engineer
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Job Location:
Salt Lake, UT - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Job role : AI/ML Engineer
Job Location : Salt Lake City UT- Hybrid role
Job Type : Fulltime role
An AI Engineer is responsible for designing building deploying and optimizing AI Machine Learning and Generative AI solutions that solve real business problems. This role bridges data models and applications ensuring AI solutions are scalable reliable and production ready.
AI Engineers work closely with product owners data engineers software engineers and client stakeholders to translate requirements into intelligent systems.
Key Responsibilities
AI & Generative AI Development
- Design and build AI and Generative AI solutions using LLMs NLP and deep learning models
- Develop applications using OpenAI APIs Azure OpenAI HuggingFace LangChain Amazon Bedrock and similar platforms
- Implement Retrieval Augmented Generation (RAG) pipelines using vector databases such as FAISS and Pinecone
- Fine tune models using techniques like LoRA and QLoRA
- Build AI powered features such as:
- Speech to Text and Text to Speech solutions
Machine Learning & Deep Learning
- Build and deploy ML models using:
- Supervised and unsupervised learning
- Regression and classification algorithms
- Neural networks and ensemble techniques
- Develop deep learning models using TensorFlow PyTorch CNNs RNNs LSTMs GANs BERT and transformer architectures
- Evaluate model performance using metrics such as Perplexity BLEU and ROUGE
Programming & Frameworks
- Strong proficiency in Python
- NumPy Pandas Scikit learn TensorFlow PyTorch spaCy NLTK
- Experience building production grade AI pipelines
AI / ML / GenAI
- LLMs and Generative AI
- NLP techniques
- RAG architectures
- Embeddings (Word2Vec GloVe ELMo)
- Vector databases
Cloud & Tools
- Azure OpenAI / AWS Bedrock
- HuggingFace ecosystem
- LangChain
- Model fine tuning and evaluation tools
Soft Skills & Expectations
- Strong problem solving and analytical thinking
- Ability to translate business problems into AI solutions
- Excellent communication with technical and non technical stakeholders
- Fast learner with a mindset to adapt to evolving AI technologies
Typical Experience Range
