Gen AI engineer
Valor Benefit Services
Phoenix, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 250KJob location
Phoenix, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Azure
Big Data
Machine Learning
Natural Language Processing
TensorFlow
Google Cloud Platform
PyTorch
Generative AI
AI Platforms
Machine Learning Operations
Job description
- Design, develop, and implement AI and Machine Learning models to solve complex business problems.
- Work on Natural Language Processing (NLP) use cases and develop intelligent solutions.
- Understand and implement advanced AI concepts such as Retrieval-Augmented Generation (RAG) , neural networks , and other machine learning techniques.
- Evaluate and leverage various AI platforms , with a clear understanding of their capabilities and limitations.
- Build, optimize, and improve models to enhance performance and accuracy.
- Deploy AI/ML models into production environments and ensure scalability and reliability.
Requirements
We are seeking a highly skilled and motivated Generative AI Engineer to join our team. The ideal candidate will have strong expertise in artificial intelligence, machine learning, and natural language processing, along with the ability to design, develop, and deploy scalable AI solutions. This role requires both technical proficiency and the ability to collaborate effectively in a dynamic environment., * Strong experience with AI and Machine Learning algorithms .
- Hands-on experience with NLP techniques and applications .
- Proficiency in AI/ML frameworks such as TensorFlow, PyTorch , or similar.
- Solid understanding of RAG architecture, neural networks , and modern AI/ML concepts.
- Ability to design, develop, and implement AI models end-to-end.
General / Behavioral Skills
- Excellent problem-solving and analytical skills .
- Strong communication and interpersonal skills , with the ability to collaborate effectively in a team environment.
- Ability to work in a fast-paced, dynamic, and agile environment .
- Good project management and organizational skills .
- Capability to present complex technical concepts in a clear and simple manner to non-technical stakeholders .
Preferred Qualifications (Optional if you want to include)
- Experience with end-to-end AI/ML lifecycle and model deployment .
- Exposure to cloud platforms (Azure, AWS, GCP) is an added advantage.
- Experience in handling large datasets and scalable systems., UG: B.Tech / B.E. in Any Specialization