Description:

Articul8 AI is seeking an exceptional Machine Learning (ML) Engineer to join the Product Technology group, focusing on the development and deployment of generative AI models.
The role involves collaborating closely with data scientists, software engineers, and product managers to design, implement, and optimize machine learning models that power AI-driven products.
Responsibilities include model development and optimization, data pipeline management, integration and deployment of models, collaboration and innovation with cross-functional teams, testing and validation of model performance, and mentoring junior engineers.
The position offers an exciting opportunity to work with state-of-the-art technologies and make a tangible impact on the future of Generative Artificial Intelligence (GenAI).

Requirements:

A minimum of 2 years of professional experience in developing and implementing AI/ML models and algorithms at a production level is required.
A BSc or MSc degree in Computer Science, Data Science/Machine Learning, or a related field is necessary.
Preferred qualifications include a strong theoretical foundation in deep learning, traditional machine learning, probability and statistics, natural language processing, computer vision, data wrangling, and model evaluation.
Experience with cloud platforms such as AWS, Azure, or GCP, and proficiency in development languages like Python, Julia, or Go, along with frameworks like PyTorch, Scikit-learn, and Keras is preferred.
Familiarity with MLOps practices, databases (PostgreSQL, MySQL, MongoDB, Redis), and container/orchestration technologies (Docker, Kubernetes) is advantageous.
A Master’s or PhD in Computer Science or related technical fields is preferred.
Professional attributes such as problem-solving skills, collaboration and communication proficiency, project management abilities, critical thinking, curiosity for continuous learning, and emotional intelligence are essential.

Articul8 AI offers professional development opportunities, including training and mentorship programs to support career growth.
Flexible work arrangements, including remote work options, are available to promote work-life balance.
Employees have access to the latest technologies and tools to enhance their work experience.
The company organizes regular social events and team-building activities to foster a strong team culture.
A supportive and inclusive work environment is emphasized, promoting diversity and lifelong learning.