AI Engineer (fully remote)

About the Role

As an AI Engineer, you will focus on leveraging the full spectrum of artificial intelligence technologies, including Large Language Models (LLMs), Automatic Speech Recognition (ASR), traditional machine learning, and scalable MLOps and DevOps practices. Collaborating closely with cross-functional teams, you will design and deliver impactful, high-quality solutions that are seamless to integrate, straightforward to interpret, and easy to maintain across diverse projects, ensuring both scalability and top-tier performance.

We embrace Agile methodologies, prioritizing clarity, consistency, and teamwork in everything we do. Our clients value our dedication to delivering efficient, maintainable code that is not only adaptable to real-world AI applications but also focused on achieving meaningful, timely results.

Our Stack

• LLMs | ASR Models | Transformers | Hugging Face
• Python | TensorFlow | PyTorch
• Docker | Terraform
• AWS | Azure | GitHub CI/CD | Prometheus | Grafana
• PostgreSQL | Redis | S3-Compatible Storage

Requirements

• Expertise in designing, training, and fine-tuning LLMs and ASR models.
• Proficiency in Python and machine learning frameworks, such as TensorFlow and PyTorch.
• Experience in data preprocessing, transformation, and cleaning using tools like Pandas, NumPy, or PySpark.
• Familiarity with data labeling platforms (e.g., Label Studio, Prodigy) and managing annotated datasets.
• Solid experience with MLOps and DevOps tools, including Docker and Terraform.
• Strong understanding of cloud services, such as AWS and Azure.
• Knowledge of CI/CD pipelines for scalable and maintainable model deployment.
• Understanding of AI/ML explainability techniques and frameworks, such as SHAP or LIME.
• Proficient in English, both verbal and written.

Nice to Have

• Familiarity with NLP libraries and frameworks, including transformers (e.g., Hugging Face).
• Expertise in voice recognition technologies and advanced ASR customization.
• Experience with distributed data processing frameworks such as Apache Spark or Dask.
• Knowledge of advanced data handling tools and techniques, such as PyTorch DataLoader or TensorFlow Dataset API.
• Previous experience in traditional machine learning, including predictive analytics and feature engineering.
• Awareness of ethical AI principles, including bias detection, mitigation strategies, and model explainability.

Soft skills

Soft skills are extremely important to us since learning new technology is much easier than dealing with a bad personality. This is why we are looking for exceptional people who love the modern web, remote working, and collaboration.

Equipment

Our people use MacBook Pros to do their jobs because we consider such machines solid, secure, and highly trustworthy, with a fantastic user experience.

Benefits
All employees enjoy great benefits to make the remote working environment friendlier and more welcoming. We highly support the continuous evolution and progress of our teammates and invest heavily in their education.

Above all, we believe that as our people grow, so does our company, and we are committed to maintaining this philosophy.

You can read more about us here.

Below is a list of benefits each full-time employee enjoys:

• A yearly budget for attending workshops and conferences
• A yearly budget for office equipment
• Access to state-of-the-art online and offline educational materials
• A yearly budget for a gym membership of their choice
• 30 days paid off

Hiring Process

1. Introductory call
2. Test assessment
3. Assessment review call
4. Final interview with the CEO
5. Offer!

About HelloWorld

At the heart of our mission lies a deep understanding of technology and a relentless drive for results. Whether through our advanced AI products or bespoke tech services, we’re dedicated to providing innovative tech solutions to real-life business challenges of all sizes.

A typical day for a space person at HelloWorld

• We work mainly between 10:00 and 18:30 Athens time (EEST).
• There is a daily morning call at 10:00, during which everyone participates to touch base and discuss various topics with their teammates. The topics are mainly irrelevant to actual work, but this event is significant for human bonding because HelloWorld is a fully remote firm.
• At 10:30, there is a team daily call to discuss priorities. To facilitate collaboration, we create small teams of 2-3 people orchestrated by the Head of Delivery.
• Between 10:15 - 12:00, everyone fills out the daily Geekbot questionnaire on Slack.
• People can take short breaks from the keyboard during the day as long as they announce them in the #general Slack channel so that their teammates are aware. No one will count such offline periods; it is our people's discretion to cover this time accordingly.
• People go offline mostly between 18:30 and 19:00.
• Every two weeks, on Wednesdays at 17:00, there is an internal meetup event where everyone from the CEO to the most recent intern can present anything they like. To keep it light and spontaneous, super polished slides are prohibited.
• On Fridays, we submit a weekly report using Geekbot to describe our week and share the status with the rest of the team.
• Every quarter, the team votes for the space person of the quarter.

Company website: