Machine Learning Engineer


•    Design and develop scalable ML/AI solutions to solve diverse business challenges by deriving features from rich data sources, training, evaluating and deploying models to production using cutting edge technologies.
•    Gather and analyze data to perform statistical analysis, identify key factors and build comprehensive visualizations to report findings.
•    Utilize statistical methods to process, clean and validate data for uniformity and accuracy.
•    Create and maintain end-to-end data pipelines and APIs according to business requirements.
•    Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.

Please send your resume to


•    Experience using statistical computer languages, such as R or Python (preferred).
•    Experience working with large data sets (> 1TB) and using big data solutions such as Hadoop, Hive, Spark, Storm, MongoDB etc.
•    Experience specifically with deep learning (e.g., CNN, RNN, LSTM) and NLP frameworks.
•    Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages / drawbacks.
•    Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve.
•    Proficiency with writing SQL queries.
•    Experience with data visualization tools, such as Tableau, is a plus.
•    Prior work experience in the financial industry is a plus.

Apply For This Job


Thanks for submitting. We'll contact you soon!