SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

For one our prestigious international clients, we are currently looking for a Machine Learning Engineer to join a global project.

Job details:

• Full-time
• Hybrid / Remote 
• Start date: June 2024
• Long term project (until 2027)

Scope:

Generative AI - As a Mid Machine Learning Engineer on client's team:

• You will use an abundance of data from the client enterprise in order to build machine learning solutions.
• Your team will collaborate with business stakeholders and engineers within the client to deliver models to production that help in driving our Ecommerce business including Search, Ranking, Recommendations, Media and Supply Chain optimization.
• You’ll build robust, scalable, high performance
• Prediction, optimization and Recommendation ML solutions based on massive structured and unstructured data from various sources.
• You will collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment.
• Work cross-functionally with product and business teams on new innovative features for ad targeting and bidding to optimize advertisement performance as well as gather data and requirement and define success.

Skills:

• 3 years of experience
• Understanding of Machine Learning Lifecycle
• Familiarity with machine learning packages like Scikit-learn or TensorFlow etc.
• Languages like Python or R (Intermediate level)
• SQL/Other
• Strong problem-solving skills and attention to detail
• Good communication and collaboration abilities 
• Keep current with technical and industry developments
• Communicate findings to all stakeholders
• English minimum B2

Good to have skills:

• Understanding of working with large datasets to derive actionable insights
• Familiarity with DevOps principles
• Basic understanding of Cloud based AI/ML and data analytics tools such as AWS ,GCP, Azure
• Basic knowledge on Data visualization using tools like Tableau or PowerBI
• Able to collaborate with product design and engineering teams to develop an understanding of needs