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Required Skills
Deep Learning, Generative AI / GenAI, Google Cloud Platform / GCP, LangChain, Large Language Modeling / LLM
Specialties
Machine Learning Engineer
Industries
Technology
Published Description
Our client is looking for a Senior Machine Learning Engineer to assist in developing implementation patterns across natural language and generative AI practices. You will be responsible for delivering systems design and architecture, documenting requirements, and making design decisions.
Responsibilities:
- Drive reusable code and solution architecture practice
- Apply cloud architecture and application design knowledge
- Assist the sales team with potential clients
- Document requirements and design decisions
- Ensure coding practices result in clean, reusable code to consistently mature the delivery practice
- Applied ML Engineer: We need someone who is not only a Data Scientist but also has strong Software Engineering fundamentals, including code quality, CI/CD, data integrations, and production lifecycle
- Custom ML Experience: Experience with EDA, fine-tuning, and training.
- GenAI and LLM Architectures: Experience with these, including model orchestration.
- Cloud Platform: Google Cloud (Vertex AI, BigQuery, GCS, etc.) is preferred, but experience with any cloud platform is acceptable
- Programming: Proficiency in Python, related frameworks, including unit testing and maintaining code quality.
- Bachelor’s Degree or relevant experience as an equivalent
- Strong foundation in NLP and generative AI
- Cloud Text-to-Speech, Cloud Speech-to-Text
- Cloud Translation, Glossaries
- Python
- Vector stores
- Langchain
- Data Loss Prevention
- CICD best practices.
Key Skills
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