Overview
Number8 is seeking qualified candidates to fill the role of Senior Machine Learning Engineer.
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer:
Flexible schedules and authentic work-life balance
Opportunities for continuing education
Social activities per country sponsored by the company
Birthday celebration
Payment in US Dollars
About the role
Our client is the world's largest online marketplace for authenticated, resale luxury goods.
The Senior Machine Learning Engineer owns the development and deployment of machine learning solutions and influences the technical direction of their team. They will work closely with Product and Engineering partners in the development of the solution.
Main Responsibilities
Lead the development and deployment of Machine Learning solutions to solve business problems
Develop and maintain clean, efficient, and scalable code that meets industry standards
Analyze large datasets to extract actionable insights and make informed decisions
Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models
Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business
Collaborate with key stakeholders in the development of data-driven solutions and deployable products
Mentor junior team members to help establish team domain expertise
Contribute to the company’s intellectual property and technical leadership through patents and publications at top-tier conferences and journals
Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills
- 5+ years of industry experience in applied Machine Learning
- Master’s Degree in Computer Science, Machine Learning, AI, or a related field. It could be a PhD too.
- 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale-
- Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design
- Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing
- Extensive experience in scientific libraries in Python (NumPy, Pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch)
- Strong data engineering skills and experience working with large-scale datasets
- Experience with big data tools (Apache Beam, Apache Kafka, Spark)
- Experience with cloud technologies AWS, GCP, or Azure
- Fluency in Python, SQL
- Ability to take business requests and break them down into manageable steps to achieve a goal
Nice to Have
- PhD preferred (CS, ML, AI, or related field)
- Background in applying ML techniques to solve real-world business problems in the retail sector
Apply today to learn more about this exciting opportunity. We are actively interviewing now for this position.
