Description:

Halo is an international agency specializing in interactive media strategy and development, with a team of over 200 people.
The company values innovation by inclusion and aims to solve digital problems through equity and empowerment.
The role of Machine Learning Engineer involves building, optimizing, and deploying machine learning models in production.
Key responsibilities include developing and optimizing machine learning models for real-world applications, preprocessing and cleaning datasets, implementing and fine-tuning deep learning models, deploying ML models using various architectures, monitoring and maintaining deployed models, and collaborating with software engineers and data teams.

Requirements:

Candidates must have strong Python skills, including experience with libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow/PyTorch.
A strong knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, is required.
Experience with feature engineering and model evaluation is necessary.
Familiarity with MLOps tools such as Kubeflow, MLflow, Docker, and CI/CD for ML is essential.
Candidates should have experience with cloud platforms like AWS, GCP, or Azure for model deployment.
Nice to have skills include experience with Node.js and JavaScript frameworks, knowledge of MongoDB and database design for ML applications, and an understanding of full-stack development to integrate ML models into applications.

The position offers 100% remote work.
Employees will receive a salary in USD.
The role provides the opportunity to work on challenging projects for the U.S. market.