Launch your career in the world of AI…
Are you ready to be part of an innovative, rapidly-growing AI startup?
At Paradigm, we’re on a mission to harness the power of artificial intelligence to create groundbreaking solutions, and we’re searching for passionate, talented individuals to join our dynamic team. If you thrive in a fast-paced environment, are eager to make an impact, and share our commitment to continuous learning and improvement, then Paradigm is the perfect place for you.
Apply today and become a driving force in shaping the future of technology!
As a Senior Machine Learning Engineer, you will work closely with a team of experts to build LLM-based applications for our clients in the US. You will be responsible for training, fine-tuning LLMs and building APIs to integrate with large applications. Continuous learning and research will also be key areas.
Key Responsibilities:
- Build and maintain a core B2B LLM apps platform
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging LLMs.
- Actively engage with the AI community to continuously hone skills and stay up-to-date with the latest advancements in the field.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. Ph.D.s are also considered.
- 3-5 years of experience in machine learning, or a related field.
- Strong programming skills in Python.
- Experience with machine learning libraries such as Pytorch, TensorFlow, Keras or equivalent.
- Strong problem-solving skills and ability to work independently as well as in a team environment.
- Excellent written and verbal communication skills.
Preferred Skills:
- Experience working with Kubernetes or similar orchestration frameworks
- Experience in building APIs and taking ML models to production
- Experience in building LLM-based apps with GPT and similar models
