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Senior AI/ML Engineer
VelirSenior AI/ML Engineer at Velir, focusing on scalable ML systems and AI/ML solutions for clients and internal teams. Mentoring and leading cross-functional initiatives in data engineering and AI/ML.
Tech Stack
Tools & technologiesAWSAzureCloudPythonPyTorchSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Competitive pay
- Excellent benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringAI engineeringPythonSQLPyTorchHuggingFaceLLM applicationsMLOpsdata designevaluation strategies
Soft Skills
technical mentorshipcommunication skillsstakeholder alignmentcross-functional collaborationinfluencing technical directionupskillingclear recommendationsexecution drivebest practices contributionresponsible AI promotion