Data Engineer

Industry: Finance

Remote

Company size: 251-10K

Full-time/Part-time

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Job description

A U.S.-based company that has made a name for itself as a private lender and provides residential real estate investors with loans for investment properties, is looking for an MLOps Engineer. The engineer will be responsible for ensuring that Data engineering methods and solutions are documented and shared with the appropriate parties. The company draws on technology to provide real estate investors with an easier, more dependable, and quicker way to take control of their real estate investments. The company has managed to secure $156mn+ in funding so far.

Job Responsibilities:

Create and maintain feature stores, CI/CD solutions, and machine learning models
To enable smooth data integration, work with cross-functional teams such as Data Engineering, Data Science, and DevOps
Take part in code reviews to guarantee good code and adherence to best practices
Implement automated solutions to track and improve data processing systems, ensuring their effective and efficient operation
Identify opportunities for automation and process improvement in close collaboration with other teams

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Data Science, or Computer Science (or equivalent experience)
At least 5+ years of relevant experience as a data engineer
Demonstrable experience working with Python, SQL, and PySpark
Prolific understanding of AWS, GCP principles, and Azure Databricks is desirable
Extensive experience developing and testing ML models and MLOps
Prior working knowledge of CI/CD pipeline development and maintenance using CircleCI, Jenkins, or BuildKite
Comprehensive understanding of SQL and NoSQL databases
In-depth knowledge of offline batch models and online real-time models in big production contexts
Extensive knowledge of process orchestrators like Airflow
Experience using big data tools like Spark and Hive
Strong familiarity with program design ideas, algorithms, and data structures
Superior problem-solving abilities and meticulousness
Ability to operate in a fast-paced, collaborative setting
Experience with containerization tools like Docker or Kubernetes
Fluent in spoken and written English communication

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I wanted to work with a US company and that's when I found Turing! The best part is the job flexibility. I don't need to follow the 9-5 routine. I also get to work with people from various cultures across the globe and grow with them.

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Even since I have become a remote developer at Turing, I’ve been enjoying the flexibility and other perks that this job offers. I would recommend interested developers to definitely apply for Turing. I am sure you'll enjoy working here and can give your own Turing review to your friends. All the best and hope you succeed in becoming a Turing developer soon.

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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.

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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.

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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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Manage and supervise a team of Business Analysts, including 5+ Team Leads.
Identify training needs, conduct sessions, and ensure high-quality training datasets.
Perform regular QA checks, improve workflows, and oversee daily operations to ensure timely, within-budget project delivery.
Serve as the main contact for stakeholders and provide updates to senior management.

Job Requirements:

Proven leadership experience managing teams of 20+ members for at least 5 years.
Strong analytical and communication skills, with proficiency in English.
Experience in operations management, process improvement, and quality assurance.
Ability to incorporate feedback from LLM performance metrics into training data and processes.
Commitment to a full-time role, with immediate availability preferred.

Benefits:

Collaborate with globally renowned experts and build a network tailored to your career aspirations.
Experience the flexibility of remote work while breaking away from traditional office setups.
Receive industry-standard salaries in USD.
Contribute to innovative projects pushing the boundaries of technology, keeping you at the forefront of advancements.

Complete an automated analytical challenge, followed by an interview. Successful candidates can start immediately. Join us in leading a team at the forefront of AI innovation!

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