Senior AI/ML Engineer
WFA Digital Insight
The demand for skilled AI and ML engineers has seen a significant surge in recent years, with a growth rate of over 20% in 2025 alone. As companies continue to invest in AI technologies, the need for experts who can design, build, and deploy production-grade AI/ML systems has never been more pressing. Velir, a mid-sized agency with a top-tier portfolio of clients, is at the forefront of this trend. With its recent acquisition of Brooklyn Data Company, Velir is poised to make a significant impact in the data and analytics space. Candidates looking to apply for this role should be prepared to demonstrate their expertise in machine learning, strong programming skills, and experience with cloud platforms. They should also be aware of the company's commitment to excellence, collaboration, and continued improvement, and be ready to contribute to a culture that values trust, transparency, and growth.
Job Description
About the Role
The Senior AI/ML Engineer role at Velir is a senior individual contributor position that requires designing, building, and deploying production-grade AI/ML systems for both client-facing and internal products. As a senior engineer, you will be responsible for partnering with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions. This role does not typically include direct reports, but you will be expected to provide strong technical leadership, mentorship, and influence across teams.The role is remote, offering the flexibility to work from anywhere, and is part of a company that values collaboration, continued improvement, and trust. Velir's culture is built on a foundation of excellence, and as a senior engineer, you will be expected to contribute to this culture and help drive the company's success.
What You Will Do
- 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
What We Are Looking For
- 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)
- 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)
Nice to Have
- Experience with other cloud platforms (e.g., Google Cloud, IBM Cloud)
- Familiarity with other ML frameworks (e.g., TensorFlow, Scikit-learn)
- Experience with data engineering and data science
- Knowledge of agile development methodologies
Benefits and Perks
- Competitive pay and excellent benefits
- Opportunity to work with a top-tier portfolio of clients
- Flexible remote work arrangement
- Access to cutting-edge technologies and tools
- Professional development opportunities
- Collaborative and dynamic work environment
- Recognition and reward for outstanding performance
- Comprehensive health insurance and wellness programs
- Generous PTO and vacation days
- Retirement savings plan with company match
- Remote stipend and home office setup support
How to Stand Out
- To stand out as a candidate, make sure to highlight your experience with production-grade AI/ML systems and your ability to design and deploy scalable solutions.
- Be prepared to provide specific examples of your experience with cloud platforms, ML frameworks, and data engineering tools.
- Showcase your understanding of ML fundamentals, including data design, training, evaluation, and experimentation.
- Highlight your experience with MLOps practices, such as CI/CD, monitoring, retraining, and experiment tracking.
- Be prepared to discuss your experience with collaborative development methodologies and version control systems.
- Make sure to research the company and its culture, and be prepared to discuss how you can contribute to Velir's mission and values.
- Practice your skills in machine learning, programming, and data science to ensure you are up-to-date with the latest technologies and trends.
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