Senior AI/ML Engineer

🕒 June 8

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Velir

201 - 500 employees

Founded 2000

🛍️ eCommerce

eCommerce • Marketing • Technology

Velir is a platform that provides innovative solutions for engaging audiences through URL shortening, QR code generation, and mobile-friendly landing pages. With a focus on creating customized digital experiences, Velir helps businesses connect with their customers by offering comprehensive tracking and analytics for all types of digital interactions. The platform is designed to meet the diverse needs of various industries, allowing brands to efficiently manage their digital connections in a unified way.

📋 Description

• Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions • Translate research and prototypes into production-ready systems • Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches • Provide technical mentorship and contribute to team upskilling • Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation • Develop RAG-based systems using embeddings, vector stores, and retrieval strategies • Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance • Create reusable tooling to accelerate experimentation, deployment, and monitoring • Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration • Establish best practices for reproducibility, observability, CI/CD, and model versioning • Partner with platform/DevOps teams to ensure reliability and scalability • Promote responsible AI practices, including governance, fairness, and transparency • Lead cross-functional initiatives across data engineering, analytics, and AI/ML • Translate complex ML concepts into clear recommendations for technical and non-technical audiences • Collaborate with clients and internal teams to plan and deliver AI/ML solutions • Contribute documentation, frameworks, and shared best practices • Scope and lead complex AI/ML initiatives aligned to business outcomes • Align stakeholders and drive execution across teams • Establish clear success metrics and ensure delivery of high-impact solutions

🎯 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 • Proficiency working with complex, multi-source datasets and defining evaluation strategies • 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.

🏖️ Benefits

• Competitive pay • Excellent benefits

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