Senior Machine Learning Engineer

Salus
Full-timeColombo, Sri Lanka

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:

  1. Build and maintain a core B2B LLM apps platform
  2. Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging LLMs.
  3. Actively engage with the AI community to continuously hone skills and stay up-to-date with the latest advancements in the field.

Qualifications:

  1. Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field. Ph.D.s are also considered.
  2. 3-5 years of experience in machine learning, or a related field.
  3. Strong programming skills in Python.
  4. Experience with machine learning libraries such as Pytorch, TensorFlow, Keras or equivalent.
  5. Strong problem-solving skills and ability to work independently as well as in a team environment.
  6. Excellent written and verbal communication skills.

Preferred Skills:

  1. Experience working with Kubernetes or similar orchestration frameworks
  2. Experience in building APIs and taking ML models to production
  3. Experience in building LLM-based apps with GPT and similar models

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