About the job
About Indicium AI
At Indicium AI, we are pioneers in integrating artificial intelligence into large-scale production, earning the trust of leading global enterprises. Our consultancy is deeply rooted in AI, with extensive expertise across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy formulation to execution and achieving business outcomes, we harness the power of AI with unparalleled clarity, speed, and effectiveness.
With a team of over 600 AI specialists serving more than 50 enterprise clients from five global offices, we collaborate closely with esteemed partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to drive modern AI solutions that deliver measurable impact.
Opportunity
We understand the vastness of the data landscape, which is why we are eager to connect with individuals who possess a data-centric background along with cloud-native expertise in creating high-quality software.
As a consultancy focused on outcomes, we seek individuals who thrive on a consultative approach to problem-solving, addressing challenges in a comprehensive, end-to-end manner. Our diverse and talented team comes from various backgrounds, and we are excited for you to share your experiences while learning from ours.
Responsibilities
- Lead the technical implementation and delivery of cutting-edge data systems and AI-enabled applications.
- Address end-to-end data challenges and opportunities at scale.
- Contribute to the architecture and design of complex solutions.
- Collaborate with clients to transform their data strategies into actionable results.
- Engage with cross-functional teams during the implementation of comprehensive solutions.
- Participate in internal initiatives such as blogs, technical discussions, and best practices.
- Take charge of your professional development using resources and support provided by Indicium AI.
Requirements
- Proven experience in building end-to-end data-centric systems using contemporary data engineering methodologies (e.g., distributed systems, data streaming, event-driven architectures).
- Proficiency in software development with one or more programming languages (e.g., Python, Java, C#).
- Strong software engineering and DevOps skills, applying the complete software development life cycle to data, including design patterns, automation, testing, contract definition, clean code practices, CI/CD, and deployment strategies.
- Experience with cloud services and platforms.
- Excellent problem-solving abilities and a passion for leveraging data for impactful solutions.
