We are looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. The company works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.

Your primary focus will be architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment for Recommendation Systems. Major technologies involved include AWS, Azure, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.

Core Responsibilities & Skills

• At least 6 years of experience in an ML senior engineer or technical lead role.
• Experience with SageMaker required and experience with other AWS tools preferred (S3, Lambda, Redshift)
• Experience developing and designing scalable distributed systems with a deep understanding of object-oriented design, modern program languages, and design patterns.
• Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts, and business stakeholders.
• Experience developing and designing recommendation systems and production quality ML models for real-time decisions is a plus.
• Algorithm and model development experience for large-scale applications
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives