Do You Like To Solve Complex Data problems and Make AI Work?
Do you want to part of a cutting edge data team that helps our clients digitally transform into an AI-First Business?
Our Data and ML Engineering Team's Thrive On Solving Real World Data Challenges!
Most companies struggle to get their data into an AI-Ready Structure, which is where our data and ML engineers thrive! Our teams love digging in and solving the data challenges that most companies struggle to get right.
Develop the right skills to solve complex data problems
Be Exposed to Innovative challenges and solutions
Be part of a new, modern way of working
Work Should Give You The Freedom To Create A Real Impact By Expressing Your Potential!
Our client’s success is defined by the impact that our teams deliver, and we adopt new modern ways of working that help avoid:
Bureaucratic autocratic (management) structure
Stuck in a dead-end rut
Avoid stagnating job growth
We know how to solve complex data problems
We know the data engineering journey our customers need to go through to make their data scientist look like rock stars! We have walked this journey, and we know the effort it takes to ingest, transform and store in an AI-Ready Format.
We know what skills it takes and how to make sure you are fully equipped to be part of our client’s journey!
Partner With The Best To Be The Best!
To solve complex data challenges, we ensure that our Machine Learning and Data Engineering teams are certified in either AWS and GCP. And this is just the start!
17 Certifications
10 Certifications
Job Specs
Our business is growing and we are always looking for the right people to join us. If you feel you have the right skills and want to be part of cutting edge in Making AI Work then please submit your cv in the form below the job specs.
The core roles that we have are as outlined at different levels of seniority. Please have a look at the specs below (Click on them for a more detailed description page with the form submission) and send us your CV.
Data Engineering
Data engineering is the backbone of modern AI solutions. As a teraflow.ai Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data in various environments.
You will work on data migrations and transformational projects that drive massive value to large enterprises in many verticals.
You will architect and design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.
Machine Learning Engineering
As a teraflow.ai ML engineer, you will focus on operationalizing models in production environments, and develop solutions for the real world, large-scale problems.
You will focus on designing ML services that can quickly scale in various cloud environments, using the latest technologies, libraries and AI engineering approaches.
We are looking for ML Engineers who can productionise machine learning models using ML-ops approaches and scalable model deployments.
Cloud Architect
As a teraflow.ai cloud architect, you will work with different cloud technologies to design, develop, and manage robust, secure, scalable, dynamic solutions to drive business objectives.
You’ll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services.
DevOps Engineer
As a teraflow.ai dev-ops engineer, you will be responsible for efficient development operations that can balance service reliability and delivery speed.
You will use either Google Cloud Platform or AWS to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
As a Cloud DevOps Engineer, you’ll be responsible for designing automated deployments using open source tools and multi-cloud resources. You will be required to work closely with the cloud team to help create and maintain the multi-cloud infrastructure.
Project management
We are looking for the best Project managers in the field that can work on end-to-end production-scale projects in the world of Enterprise.
We are looking for PM’s that are confident in managing Agile and Waterfall methodologies in the Presales and Implementation phases of a project. You need to comfortable with managing large budgets and controlling the project scope to meet the customer’s expectations.
The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.