Who are we? Cevo is a trusted leader in technology delivery on the AWS platform.
Established in 2016, we're an Advanced AWS Consulting Partner, headquartered in Melbourne, with offices in Sydney, Brisbane and Canberra.
We empower our customers to simplify cloud adoption and accelerate digital transformation by leveraging emerging technologies, modern productivity tools and cloud native platforms.
Drawing on experience across diverse projects and customers, our consultants enable organisations to innovate through modernisation, data and artificial intelligence and advisory services, underpinned by AWS best practice.
Our AWS specialisation and expertise has helped more than 200 organisations stay competitive in a dynamic environment, ranging across start-ups, commercial, enterprise and government customers.
We are a diverse team of people with a shared passion for helping our customers move faster with confidence.
Our skilled consultants are curious, passionate and committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored, innovative and reliable solutions.
Who are you? As a Principal Data and AI Consultant at Cevo, you'll need a combination of technical skills, strategic thinking, and effective communication.
7+ years in a hands-on role in the data and technology industry Experience in data architecture and solution design for modern data platforms Recent extensive experience in Data Engineering, stretching into AI and ML Previous Consulting experience within enterprise environments 2+ years' experience in a senior hands-on data engineering role, leading technical teams You hold AWS Certifications in: AWS Certified Solutions Architect – Professional AWS Certified Machine Learning – Specialty AWS Certified Data Analytics - Specialty Desired skills would include: AWS Expertise: Proficiency in AWS data, analytics, and AI/ML services such as Amazon S3, Redshift, Sage Maker, Glue, Bedrock and Amazon Q.
Hands-on experience with designing and implementing large-scale, distributed data platforms and AI/ML models on AWS.
Data Engineering and Architecture: Strong background in data engineering, including ETL processes, data warehousing, and data lakes.
Experience with data architecture, ensuring data quality, governance, and security.
Machine Learning and AI: Knowledge of machine learning frameworks and libraries (e.g., Tensor Flow, Py Torch) and their integration with AWS services.
Ability to build, train, and deploy machine learning models on AWS.
Business Acumen: Ability to connect data, analytics, and AI solutions to measurable business outcomes.
Experience in developing data strategies that align with business goals.
Problem-Solving: Strong analytical skills to identify and solve complex data-related problems.
Ability to design scalable and cost-effective solutions.
Customer Engagement: Excellent communication skills to interact with various stakeholders, including data engineers, data scientists, analysts, and business leaders.
Experience in conducting training sessions, deep architectural discussions, and cloud acceleration programs.
Thought Leadership: Ability to educate customers on best practices around advanced data, analytics, and AI solutions on AWS.
Experience in authoring customer-facing content like whitepapers and blog posts.
Presales: Taking a leadership role in presales (EOI, RFI, RFP) activities, presenting solutions to our clients and answering questions in a presales environment Our Values: Our Values are intrinsic in everything we do: ONE TEAM - Everything we achieve we achieve as ONE TEAM We're CURIOUS RE-IMAGINE the possible PEOPLE are the heart of Cevo OWN IT & GET IT DONE Benefits: A competitive base salary Company perks including a technology allowance of $2,500 Strong learning and development culture - $2,000 per year to spend on professional courses + 2 paid days off to attend course and exams The support of the Cevo hive, helping each other to succeed We reward and recognize achievements Exciting start-up vibe with enterprise-level projects and clients #J-18808-Ljbffr