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.
Our client’s success is defined by the impact that our teams deliver, and we adopt new modern ways of working that help avoid:
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!
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 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.
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.
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.
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.
Teraflow is looking for talented people out there to join our Software Development/Engineering team.
As a software developer/engineer you will be responsible for designing, coding, testing, and analyzing software systems and applications.
This includes researching, designing, documenting, and modifying software specifications throughout the production life cycle.
You will be using Google Cloud Platform/AWS to translate business requirements and specifications into usable and scalable software.
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.