Junior Gen AI Engineer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Gen AI Engineer
Algorithm Development
integrate AI
Python
Java
TensorFlow
PyTorch

Job Details

Role: Junior Gen AI Engineer

Location: Sunnyvale, CA AND Austin TX (Onsite)

Job Type: Contract

Visa: , H1B and OPT

Rate: $50/hr on C2C

Note: client is Looking for Only Female Candidate & Experience 3 to 5 Years

Please share me the resumes at

Responsibilities:

  • Algorithm Development: Contribute to the design and development of advanced algorithms for various AI applications, including natural language processing, computer vision, machine learning, and more.
  • Model Training and Optimization: Assist in the training and optimization of machine learning models to achieve high performance and efficiency.
  • Data Processing and Analysis: Participate in data collection, preprocessing, and analysis tasks to ensure high-quality data inputs for AI models.
  • Software Development: Contribute to the development of software tools and frameworks to support AI research and development efforts.
  • Collaboration: Work closely with cross-functional teams, including researchers, software engineers, and domain experts, to integrate AI solutions into real-world applications.
  • Testing and Evaluation: Conduct experiments and evaluations to assess the performance and effectiveness of AI algorithms and systems.
  • Documentation: Document algorithms, software designs, and experimental results to facilitate knowledge sharing and collaboration within the team.
  • Continuous Learning: Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and related fields through self-study, training, and participation in relevant conferences and workshops.

Qualifications:

  • Bachelor s degree or higher in computer science, engineering, mathematics, or a related field.
  • Solid understanding of fundamental concepts in artificial intelligence, machine learning, and deep learning.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex technical challenges.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively with colleagues from diverse backgrounds.
  • Eagerness to learn and adapt to new technologies and methodologies in a fast-paced environment.
  • Previous experience or coursework in areas such as computer vision, natural language processing, or reinforcement learning is a plus.