
Senior AI/ML Engineer
Velir
WorldwideFully remoteFull TimeInformation Technology
No salary statedPosted 25 days ago3w ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 25 days ago
About the role
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.
What we look for
- 5-7 years ML engineering experience
- Python and SQL proficiency
- PyTorch and HuggingFace experience
- LLM application building experience
- Cloud platform experience (AWS or Azure)
- MLOps practices experience
PythonPyTorchHuggingFaceAWSAzureMLOps
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Velir
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