About the job
About Indicium AI
Indicium AI is a leading global consultancy that empowers enterprises to harness the power of artificial intelligence at scale. Our expertise spans various sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. We excel in translating AI strategies into actionable outcomes, enabling businesses to realize their full potential with unparalleled clarity, speed, and effectiveness.
With a team of over 600 AI specialists serving more than 50 enterprise clients from five key global locations, we collaborate closely with renowned partners like Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver cutting-edge AI solutions that yield measurable impacts.
Opportunity
We are on the lookout for dynamic individuals with a background in data and a passion for cloud technologies who are eager to develop high-quality software solutions. At Indicium AI, we embrace a consultative approach to problem-solving that takes into account the entire process, helping clients navigate their data journeys successfully. Join our diverse and talented team, where you can both learn from others and share your unique experiences.
Responsibilities
- Act as a pivotal member of a team tasked with implementing comprehensive data solutions, overseeing the technical delivery of modern data systems and AI-driven applications to address large-scale challenges.
- Engage with clients to guide them toward success, bringing their data strategies to fruition.
- Pursue technical excellence, consistently striving to deliver optimal solutions to our clients.
- Participate in internal initiatives such as blogs and technical forums to share knowledge.
- Take charge of your own development by leveraging the tools and resources available at Indicium AI to acquire new skills.
Requirements
- Pragmatic problem-solving mindset.
- Exceptional communication skills, capable of effectively collaborating and articulating technical concepts to stakeholders at all levels.
- Solid understanding of modern data engineering practices including distributed systems, data streaming, and event-based architectures.
- Strong foundation in software engineering principles such as automation, testing, clean code, and CI/CD.
- Experience with one or more cloud platforms (AWS, Azure, GCP).
- Proficiency in software development methodologies.
