Senior AI/ML Engineer

Velir

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
  • Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
  • Develop RAG-based systems using embeddings, vector stores, and retrieval strategies
  • Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
  • Partner with platform/DevOps teams to ensure reliability and scalability
  • Lead cross-functional initiatives across data engineering, analytics, and AI/ML
  • Scope and lead complex AI/ML initiatives aligned to business outcomes

Requirements

  • 5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience
  • Strong programming skills in Python and SQL; experience with PyTorch and HuggingFace
  • Experience building LLM applications, including RAG, embeddings, and vector search
  • Experience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)
  • Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
  • Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL)
  • Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking
  • Strong software engineering fundamentals (testing, modularity, code review)
  • Experience mentoring engineers and influencing technical direction
  • Strong communication skills with both technical and non-technical stakeholders

About the Company

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world's largest non-profits to Fortune 500 brands. They are a remote-first company that offers competitive pay and excellent benefits.

Skills & tools

PythonPyTorchHuggingFaceAWSAzureMLOps

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015-7 years ML engineering experience
  2. 02Python and SQL proficiency
  3. 03PyTorch and HuggingFace experience
  4. 04LLM application building experience
  5. 05Cloud platform experience (AWS or Azure)
  6. 06MLOps practices experience
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