Senior AI Consultant
Melbourne, Victoria, Australia
V2 Digital
Discover how V2 AI transforms enterprises through Data, AI and Modernisation strategies, solving complex business challenges.ABOUT V2 AI
V2 AI is a leading Data & AI consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of Data & AI to accelerate business outcomes for some of the world's largest brands. We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact.
Our Services
- Strategy & Advisory
- Data Analytics & Insights
- Artificial Intelligence
- Product
- Data & Application Modernisation
- Intelligent Platforms
About the Role
As a Senior AI Consultant, you’ll play a pivotal role in delivering cutting-edge AI solutions to our clients. You’ll lead technical strategy, architecture, and implementation across projects, while collaborating closely with cross-functional teams to ensure alignment with business goals. You're a natural leader who thrives on solving complex problems and delivering high-quality, production-ready AI systems — with a strong focus on GenAI.
At V2 AI, you’re not just delivering work — you’re contributing to a growing business. You'll mentor junior team members, help create reusable assets, and drive technical excellence across the board. You're passionate about AI, stay up to date with the latest developments, and love sharing your knowledge with the wider community — whether through content, meet-ups, or internal sessions.
Skills & Experience Required:
- Experience in Data Science, Machine Learning, or Applied AI, including 2+ years in GenAI-focused initiatives
- Proven experience delivering production-grade AI solutions in enterprise environments, particularly GenAI use cases (LLMs, transformers, embeddings, fine-tuning)
- Strong Python skills with hands-on experience across LLM APIs (OpenAI, Anthropic, Gemini), agent frameworks (CrewAI, AutoGen, Semantic Kernel), and core ML/DL libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Experience building and deploying LLM applications, with knowledge of fine-tuning techniques and optimising inference performance (CPU/GPU, CUDA, containerisation, Kubernetes)
- Solid understanding of LLMOps: prompt management, model pipelines, evaluation metrics, versioning, and rollback strategies
- Exposure to Agentic AI systems — designing agent workflows, integrating tools/APIs, and deploying agents to production
- Hands-on experience with cloud platforms: AWS (Lambda, SageMaker, Bedrock, etc.), with some exposure to GCP or Azure
- Experience working with unstructured data (text, image, video, audio) for ML applications
- Familiarity with data engineering tools: SQL, Spark, Airflow, ETL/ELT pipelines
- Demonstrated leadership in delivery — taking ownership of outcomes, mentoring others, and supporting architecture decisions
- Strong communication and stakeholder management skills — translating technical concepts into business value
What you will get:
- Competitive Salary package
- Pick your equipment
- Gifted Day Off ("VersionUp Day")
- Generous parental leave
- Well funded start up $$$
- Annual Training budget
- Mentorship Program
- Clear promotion pathways
- Flexible working
- Meet-ups & socials
- 97% Rating on corporate social responsibility
Apply Now:
If you are keen to join one of the fastest-growing consultancies in this space and interested in shaping the future of V2, then APPLY NOW!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Anthropic APIs Architecture AWS Azure Core ML CUDA Data Analytics ELT Engineering ETL GCP Gemini Generative AI GPU Kubernetes Lambda LLMOps LLMs Machine Learning NumPy OpenAI Pandas Pipelines Python PyTorch SageMaker Scikit-learn Spark SQL TensorFlow Transformers Unstructured data
Perks/benefits: Career development Competitive pay Flex hours Parental leave
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