Position: Machine Learning (ML) Engineer (Recent Job)

Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation, and deployment
Demonstrate an end-to-end holistic understanding of the applications being created
Help AI product managers and business stakeholders understand the potential and limitations of AI when planning and executing on projects
Deploy and help manage the data pipelines and infrastructure on cloud platforms needed to make AI work in production
Debug and analyze ML system performance in Production
Prepare and present results and analysis to stakeholders when necessary
Regularly attend internal and client meetings
Create APIs and help business customers put results of your AI models into operations
Provide proper guidance and supervision of subordinate engineers and their work
Must be self-motivated, flexible, collaborative, with an eagerness to learn
Regular, reliable attendance is a requirement for this job
Other tasks as per assigned

Good grasp of Basic Machine Learning concepts: algorithms, evaluation procedures, etc and mathematical foundation for ML: Linear Algebra, Probability, and Statistics, Calculus, etc.
Proficiency in designing Python applications including proper packaging, test-suites, etc.
Good grasp of data science libraries like numpy, pandas, scikit-learn, etc, deep learning libraries such as TensorFlow, Keras, Pytorch, etc and GPU computing
Ability to work on ML services on the cloud: AWS, GCP, etc.
Good grasp of Python web frameworks such as Flask, Django, etc with the ability to design, build and work with RESTful Web Services in JSON and XML formats
Familiarity with domain-specific libraries: Eg: OpenCV, NLTK, etc.
Ability to apply AI in one or more of the following areas: Natural Language Processing, computer vision, recommendation systems, forecasting, or similar
Ability to conduct an independent literature review for projects and implement relevant techniques from those papers
Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system
Solid understanding of Data Structure & Algorithms and Object Oriented Programming concepts
Knowledge of Linux / Windows with system troubleshooting capabilities.
Familiarity with Version Control tools such as Git
Familiarity or the ability to learn and adapt to current trends and best practices
Strong problem solving and written and verbal communication skills in English

This job has been expired on 2019-04-18

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