Generative AI Engineer
at Astral Insights
Lima, Lima, Peru -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Jul, 2024 | Not Specified | 18 Apr, 2024 | N/A | Natural Language Processing,Computer Science,Agile,Azure,Machine Learning,Learning Techniques,Artificial Intelligence,Keras,Python,Data Structures,Aws,Matplotlib,Nltk,Software Development Methodologies,Scrum,Algorithms,Communication Skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Generative AI/LLM Engineer JD
We are seeking a highly skilled and motivated Generative AI/LLM Engineer with a strong focus on the Microsoft Azure tech stack. The ideal candidate will have a deep understanding of data architecture, data modeling, and data processing, with a proven track record of leveraging Azure services to build robust, scalable data & analytics solutions to deliver AI, machine learning, and data visualization solutions for mid-market and enterprise organizations.
Your main responsibilities will include:
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members.
Key Requirements:
- You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
- You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
- You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- You have strong knowledge of data structures, algorithms, and software engineering principles.
- You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
- You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
- You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
- You have knowledge of software development methodologies, such as Agile or Scrum.
- You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
- You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
- You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Responsibilities:
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science
Proficient
1
Lima, Lima, Peru