Machine Learning Engineer

Must have a Baseline clearance or have the ability to obtain one.

Essential criteria

1. Experience in AI/ML technologies and proven ability to deliver successful Machine Learning models, proof-of-concepts, and AI solutions using techniques and technologies such as Natural Language Processing, Deep Learning, Classification, and Image Recognition.
2. Experience in MLOps or DevOps.
3. Experience in full stack development.

Desirable criteria

1. Effective communication skills with ability to explain or translate complex models and findings to business stakeholders.
2. Experience with commercial cloud platforms (AWS, Azure, GCP)
3. Relevant ICT qualifications and / or Industry certifications, and experience in DevOps and MLOps product lifecycle from inception to production.