ML Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a key role in developing and deploying machine learning models that drive impactful decisions and elevate customer experiences. You will collaborate closely with a diverse group of data scientists, data engineers, and business leaders to create scalable solutions that optimize our retail operations across the full value chain – from jewellery design and crafting to supply chain logistics, to in-store/online retail and marketing. We encourage creative problem-solving, continuous learning, and work-life balance in a supportive environment.

• Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain.

• Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency.

• Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain.

• Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions.

• Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability.

• Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes.

• Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

• 3-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.

• Experience in the retail industry or e-commerce is highly desirable.

Technical Skills:

• Strong problem-solving abilities, solid background in algorithms and data structures.

• Strong proficiency in Python.

• Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib).

• Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop.

• Proficiency in SQL and experience with relational databases.

• System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.

• Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes).

• Experience with version control systems (e.g., Git) and collaborative development tools (e.g., JIRA, Confluence).

Soft Skills:

• Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.

• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• A proactive attitude and a passion for continuous learning and innovation.

Benefits:

• Paid Vacation
• Hybrid Work (home/office)
• Sick Days
• Sport/Insurance Compensation
• Holidays Day Off
• English Classes
• Training Compensation
• Transportation compensation