Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish remote engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions. 

Robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany. 

Machine Learning Engineer, AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200,000 - $260,000 USD

We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as:

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist, Product Data Science in Canada.

This role offers the opportunity to work at the intersection of data, product, and strategy, helping guide high-impact decisions for one of Canada’s most prominent fintech platforms. As a Data Scientist on the Product Data Science team, you will design experiments, build predictive models, and create scalable data solutions that support growth and product innovation. You’ll collaborate closely with Product, Engineering, and Marketing teams to deliver insights and shape product development. If you’re passionate about using data to solve real-world problems and want to be part of a purpose-driven mission, this role is for you.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Solutions Architect in Brazil.

As a Solutions Architect, you will play a key role in helping enterprise clients unlock the full value of their Customer Data Platform (CDP) investments. You’ll guide clients through technical implementation and strategic deployment, working across web, mobile, and server environments. You’ll be the go-to expert for best practices, integration strategies, and data architecture, ensuring smooth onboarding and a strong foundation for ongoing adoption. This is a client-facing, consultative role that blends technical acumen with project leadership, perfect for someone who enjoys solving complex problems in a collaborative, global environment.

Accountabilities:

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Gestalte mit uns, wie Technologie Unternehmen verändert – und deine Karriere gleich mit.

HSO gehört seit über 21 Jahren zum Microsoft Inner Circle – der exklusiven Top 1 % aller Partner weltweit – und wurde 26-mal als Microsoft Partner of the Year ausgezeichnet. Mit über 30 Jahren Erfahrung, 2.800 Mitarbeitenden aus 43 Nationen und 33 Standorten weltweit verbinden wir technologische Exzellenz mit tiefem Branchenverständnis.

Bei HSO arbeitest du an innovativen Projekten, direkt an der Schnittstelle zwischen Business und moderner Microsoft Cloud – von Dynamics über Azure bis hin zu Data & AI. Du willst nicht nur beraten, sondern gestalten? Dann werde Teil von HSO und bring dein Know-how dorthin, wo es zählt: in internationale Projekte, moderne Technologien und ein Team, das deinen Anspruch teilt, besser zu sein als gestern.

Werde Role Model für Data & AI bei HSO 

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks, both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for.

At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.