Sr. AI Engineer

About you:

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
• MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
• 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency
• Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai
• 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting
• Highly proficient programming in Scala and/ or Python/Pyspark
• Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark
• Experience in handling streaming data and real-time forecasting solutions deployment
• Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization
• Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
• Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines
• Motivated, team player with ability to collaborate effectively across global team
• Understanding of retail industry and pricing concepts is added advantage

Bonus Points:

• Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras
• PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
• Extensive experience developing highly distributed ML systems at scale
• Familiarity with Vertex AI and Cloud ML ecosystem will be desirable
• Experience in mentoring the junior team members ML skillset and career development