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!