Senior AI/ML Engineer
Raas Infotek LLC
Plano, TX, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Artificial Neural Networks
Computer Vision
Microsoft Azure
Business Software
Cloud Computing
Cloud Engineering
Computer Programming
Continuous Integration
Monitoring of Systems
+25 more
Python (Programming Language)
Machine Learning
Natural Language Processing
Tensorflow
Standard Sql
Software Engineering
Pinecone
Data Processing
Google Cloud
Pytorch
Retrieval-Augmented Generation
Large Language Models
Prompt Engineering
Deep Learning
Model Validation
Llamaindex
Generative AI
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
FAISS
Restful APIs
Docker
ChromaDB
Job description
We are looking for a highly experienced AI/ML Engineer with 13+ years of experience in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, machine learning algorithms, deep learning, Generative AI, and cloud-based AI solutions., * Design, develop, and deploy AI/ML models for business applications.
- Build and optimize machine learning and deep learning algorithms.
- Develop Generative AI solutions using Large Language Models (LLMs).
- Work with NLP, computer vision, and predictive analytics.
- Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
- Develop and maintain scalable AI/ML pipelines and APIs.
- Work with cloud platforms such as AWS, Azure, or Google Cloud.
- Collaborate with data engineers, software developers, and business teams.
- Monitor model performance, troubleshoot issues, and improve accuracy.
- Follow best practices for model evaluation, security, scalability, and responsible AI.
Requirements
- 13+ years of experience in software engineering, AI/ML, or related fields.
- Strong programming experience in Python.
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
- Strong understanding of machine learning, deep learning, and statistical modeling.
- Experience with Generative AI, LLMs, prompt engineering, and RAG.
- Knowledge of NLP, neural networks, and data processing.
- Experience with vector databases such as Pinecone, FAISS, or Chroma.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Knowledge of SQL, REST APIs, and MLOps tools.
- Strong problem-solving, communication, and analytical skills., * Experience with LangChain, LlamaIndex, or similar frameworks.
- Knowledge of Docker, Kubernetes, CI/CD, and model deployment.
- Experience with model monitoring, optimization, and production-level AI systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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