As a Senior Audio AI Engineer at Awarri, you will play a pivotal role in advancing the naturalness and quality of our Text-to-Speech (TTS) systems, focused on African languages and accents. We're seeking an engineer who understands the intricacies of prosody, rhythm, and speech alignment and is excited to push the boundaries of audio AI in a meaningful cultural context.

As an ML Engineer, you will contribute to strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

We are seeking an experienced Senior Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in a production environment, ensuring they deliver value and performance at scale.

Seeking a skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services to oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers, demanding hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

You’ll be in charge of the full cycle execution of content understanding projects - from collaborating with cross-functional teams on requirements and design to the implementation to the experimentation. Developing new or iterating on existing NLP algorithms and models for advertising use cases. Building data processing pipelines & APIs that make the signals and annotations computed with those models available.

Join our AI and Architecture team as a Senior Machine Learning Engineer, contributing to the design, development, and deployment of cutting-edge machine learning systems. Collaborate with ML scientists, data engineers, and product teams to bring innovative solutions—such as RAG systems, multi-agent architectures, and AI agent workflows—into production, shaping the future of our platform.

Train, fine-tune, and deploy machine learning models within an API-driven environment, ensuring scalability and optimal performance. Design and implement modeling and optimization techniques for deep learning models and production-ready pipelines. Implement monitoring and evaluation frameworks to ensure model quality and reliability.

As a Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team.

As a Technical Lead at Nearform, you will lead and guide development teams while working directly with clients to translate business and technical requirements into impactful applications, ensuring best practices in software development, DevOps, and agile methodologies are upheld within the team and shaping architectural decisions.

Lead development teams to ensure sprint commitments are met by driving the design and implementation of AI solutions, including data processing pipelines, AI/ML model deployment, and the creation of AI agents aligned with user and business needs. Conduct recruiting interviews and analyze candidates to ensure successful hiring/contracting.