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 designing, developing, and training machine learning models with a focus on GenAI, building and maintaining scalable data pipelines, and integrating machine learning models into production environments.
The engineer will also collaborate with cross-functional teams to understand product requirements, develop testing frameworks to validate model performance, and participate in code reviews while mentoring junior engineers.

Requirements:

Candidates must have 5+ years of professional experience in developing and implementing AI/ML models and algorithms at a production level.
A BSc or MSc degree in Computer Science, Data Science/Machine Learning, or a related field is required.
Preferred qualifications include a strong theoretical foundation in deep learning, traditional machine learning, probability and statistics, natural language processing, and computer vision.
Experience with cloud platforms such as AWS, Azure, or GCP, and proficiency in programming languages like Python, Julia, or Go, as well as familiarity with tools like PyTorch, Scikit-learn, and Keras is preferred.
Knowledge of MLOps practices, databases (PostgreSQL, MySQL, MongoDB, Redis), and container/orchestration technologies (Docker, Kubernetes) is also desired.
A Master’s or PhD in Computer Science or related technical fields is preferred.

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