ML Engineer

Industry: Other

Remote

Company size: 11-50

Full-time/Part-time

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Job description

A fast-growing company that is helping real estate organizations dramatically increase the effectiveness of their back-office activities, is looking for an ML Engineer. The engineer will be collaborating with Engineering and Product to obtain additional data or develop enhanced data visualizations to gain a clearer understanding of issues. The company provides technology that assists customers in reducing AP expenses, accelerating AP cycles, and increasing AP productivity by substituting intelligent, automated solutions for labor-intensive, repetitive tasks. Candidates who are keen to assist with data operations and tooling to help our customers comprehend and receive better predictions can take advantage of this fantastic opportunity.

Job Responsibilities:

Collaborate with Engineering and Product to leverage data to comprehend business customer challenges
Demonstrate a value-delivery perspective
Create trials with predetermined results that stakeholders have approved
Utilize best practices and cutting-edge tools to minimize waste and faults while maintaining a delivery-focused approach
Experiments and methods to improve prediction quality should be implemented to improve product performance
Conduct experiments with machine learning approaches and demonstrate or refute their applicability to the performance of the product
Assist engineering in implementing novel production procedures
Put strategies into action to enhance model deployment, performance tracking, and further MLOps projects

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Statistics, Informatics, Information Systems, Computer Science (or equivalent experience)
At least 4 years of relevant experience as an ML Engineer
Prolific experience working with Snowflake, Airflow, and AWS
Strong understanding of ML models and their applications
Demonstrable experience working with Python, Machine Learning, and Data Science libraries
Extensive experience working with Data wrangling and associated SQL skillset
Solid experience with feature extraction and engineering
Experience overseeing projects from requirement collection to completion
Previous experience in an early-stage startup and experience scaling data processes
Strong knowledge of tools and the pros and cons of building versus purchasing in order to solve issues related to coordinating the execution of tasks, deploying models, monitoring performance, etc.
Prior full-stack machine learning experience and the ability to define problems and carry them out through production deployment
Some prior expertise with stream-processing systems and creating and managing a data pipeline from scratch is nice to have
Thorough understanding of the Snowflake/Kafka experience in particular
Extensive knowledge of data input and orchestration tools (such as Airflow, Airbyte, Flyte, etc.) is desirable
Strong background using Data Transformation Tooling (DBT) and proficient knowledge of AWS is preferred
Excellent English communication skills, both spoken and written

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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

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We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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