Sr ML/AI Engineer (Remote)

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