AI/ML Engineer

We’re looking for an experienced AI/ML Engineer who will be responsible for the architecture and development of the machine learning technologies. The AI/ML Engineer will design, develop, and deploy machine learning algorithms for our internal and external projects.

The ideal candidate will be a quick learner who is enthusiastic about all aspects of data development, including data transport, data processing & transformation, data integration and data warehousing. He/she will work on a variety of problems such as personalization, targeting, optimization and similar, come up with new and interesting hypotheses, test them, and scale them up to massive data sets. The written algorithms and models will be used to improve critical components in our products.

Job Responsibilities

– Contribute to designing, building, evaluating, and refining our internal products
– Prototype new approaches and production solutions at scale
– Build systems that take in multiple user signals and suggest feature optimizations for each user
– Take on complex data-related problems using some of the most diverse datasets available
– Perform data analysis to establish baselines and inform product decisions
– Run experiments to understand the value of your approaches
– Select and integrate Big Data tools and frameworks required to provide requested capabilities
– Implement ETL processes
– Monitor performance and advise necessary infrastructure changes
– Implement machine learning and deep learning models at a large scale

Technical Qualifications

– Extensive experience working with an enterprise data warehouse and large sets of data
– Excellent understanding of databases both, normalized and denormalized star schemas
– Proven ability for looking at solutions unconventionally and explore opportunities and devise innovative solutions
– Ability to work in ambiguous situations with unstructured problems and anticipate potential issues risks
– Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences
– Knowledge of predictive models and their implementations
– Experience in Machine Learning and Deep Learning Frameworks (Scikit-learn, Tensorflow, PyTorch, etc)
– Strong familiarity and hands-on experience with SQL and knowledge of Hadoop MapReduce or PySpark
– Experience in using large scale web services like AWS, Google Cloud or Azure
– Strong analytical skills with the ability to collect, organize, analyze, and extend a significant amount of information with attention to details and accuracy
– Ability to analyze existing tools and databases and provide software solution recommendations
– High-level experience in methodologies and processes for managing large scale databases

Non-Technical Qualifications

– Excellent communications skills, both verbal and written, complemented by an ability to collaborate with development team
– Solid organizational, time management, and prioritization skills
– Strong analytical skills with the ability to collect, organize, analyze, and extend a significant amount of information with attention to details and accuracy
– Ability to collaborate with a cross-functional agile team spanning design, data science, product management, and engineering

Education and Requirements

– Bachelor’s degree in data science or applied mathematics, statistics, business analytics, economics, computer science, engineering
– 1+ years of Data Engineering experience (ETL/Data warehouse) with deep proficiency in SQL & Python

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