Job Title: Machine Learning Engineer
Number of Job Positions: 2 (MLE and Staff MLE)
Location: Remote / Hybrid / [Client’s Location]
Industry: Generative AI (GenAI)
Funding: Series-A, $25M
Join one of our Series-A $25M funded client operating at the forefront of the Generative AI (GenAI) space. They are building cutting-edge AI solutions and are looking for talented individuals to help shape the future of this fast-evolving industry.
Job Description:
We are looking for a proficient Machine Learning Engineer with deep expertise in Large Language Models (LLMs) or Generative AI to join our client's technical team. The ideal candidate will have strong programming skills in Python and hands-on experience with frameworks like PyTorch and TensorFlow, along with a solid understanding of Neural Networks. Expertise in NLP or Generative Adversarial Networks (GANs) is essential. Experience with open-source libraries such as Hugging Face is highly desirable, along with a track record of open-source contributions. In this role, you will architect, develop, and optimize machine learning models, playing a key role in building next-generation AI solutions.
Key Responsibilities:
- Develop and implement state-of-the-art machine learning models, including LLMs and GenAI applications.
- Optimize models for performance, scalability, and efficiency.
- Utilize frameworks like TensorFlow and PyTorch to build and train Neural Networks.
- Work with NLP, GANs, or related technologies to solve complex AI problems.
- Collaborate with cross-functional teams to integrate ML models into products.
- Stay updated with the latest advancements in AI/ML and contribute to innovation.
Qualifications:
- Bachelor’s degree in Computer Science or a related field.
- 3-7 years of professional experience as a Machine Learning Engineer.
- Hands-on experience with LLMs or Generative AI technologies.
- Strong programming skills in Python.
- Proficiency with PyTorch and TensorFlow.
- Solid understanding of Neural Networks, NLP, or GANs.
- Strong problem-solving abilities and a passion for AI innovation.
Preferred Skills:
- Experience working in a fast-paced startup environment.
- Familiarity with cloud platforms (e.g., AWS, GCP, or Azure).
- Contributions to AI research or open-source projects.
