Sr ML/AI Engineer Required SkillsDeep Learning, Generative AI / GenAI, Google Cloud Platform / GCP, LangChain, Large Language Modeling / LLMSpecialtiesMachine Learning EngineerIndustriesTechnologyPublished DescriptionOur 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:
Lead delivery teams and clearly delineate parallel work-streams
Lead discovery sessions with clients and carefully navigate requirement discussions to avoid designs requiring additional scope
Support pre-sales discussions and assist pre-sales engineers to identify scope issues and clearly define assumptions for LOEs
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
Required Qualifications:
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 is essential
Multimodal Unstructured Data: Understanding of video, audio, documents, and text data is required
GenAI and LLM Architectures: Experience with these, including model orchestration. We will be building RAGs infused with LLMs for generating embeddings and responding with human-like answers
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. The use case involves video content processing, such as the identification of frames based on emotions, music, script, audio, etc. The first phase is to implement RAG, and then evolve into a producer-editor centric tool
7+ years of experience as a ML Engineer
Bachelor’s Degree is preferred but will consider relevant experience as an equivalent
Strong foundation in NLP, vision, and generative AI
Vertex AI, Vertex Search and Conversations
Dialogflow CX
Vision AI and OCR
Cloud Text-to-Speech, Cloud Speech-to-Text
Cloud Translation, Glossaries
Python
Vector stores
Langchain
Data Loss Prevention
CICD best practices, especially with complexity of CCAI and/or PSO engagements
