Description:

Fusemachines is an AI company with over 10 years of experience, focused on delivering advanced AI products and solutions across various industries.
The company aims to democratize AI and leverage global AI talent from underserved communities.
The role is for a Full-time Remote Senior Machine Learning Engineer on a contract basis, focusing on building impactful products in the search and advertising technology ecosystem.
Responsibilities include managing the end-to-end lifecycle of AI/ML projects, implementing MLOps best practices, contributing to model architecture decisions, developing feature engineering pipelines, establishing A/B testing frameworks, translating research into production-ready code, and mentoring junior team members.
The position offers a clear career progression path and opportunities for personal and professional growth in a dynamic work environment.

Requirements:

A Bachelor's degree with 5-8+ years of industry experience in AI/ML, specifically in developing and deploying production-level ML systems.
Proven expertise in building AI/ML models in domains such as Ads, relevance, ranking, recommendation systems, and search.
Comprehensive knowledge of statistical learning, machine learning, and deep learning.
Experience in creating distributed, low-latency, high-throughput batch and online ML services.
Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks.
Proficiency in Python and familiarity with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure.
Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.
Ability to thrive in a fast-paced, multi-functional, and rapidly evolving environment.

The position provides opportunities for personal and professional growth in an intellectually stimulating work environment.
Employees will have the chance to work on impactful projects within the search and advertising technology ecosystem.
Fusemachines is committed to diversity and inclusion, ensuring equal opportunities for all qualified applicants.