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Data Engineer
They provide both wholesale and retail funding. PM1
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Data Engineer

at They provide both wholesale and retail funding. PM1

Agency job
1 - 5 yrs
₹15L - ₹20L / yr
Bengaluru (Bangalore)
Skills
Spark
Big Data
Data Engineer
Hadoop
Apache Kafka
Data Warehousing
Data Modeling
Hive
Kafka
  • 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
  • Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
  • Experience in Data warehousing, Data modeling, and Data architecture.
  • Expert level proficiency with the relational and NoSQL databases.
  • Expert level proficiency in Python, and PySpark.
  • Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
  • Familiarity with cloud services (preferable AWS)
  • Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

  • Act as a technical leader for resolving problems, with both technical and non-technical audiences.
  • Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
  • Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
  • Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
  • Provide thought leadership and mentor data engineers in information presentation and delivery.

 

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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.

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As this is a new business the compensation is negotiable and we will make an offer depending on the experience of the candidate which will include a salary and ESOP package.

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In partnership with the company’s founders, identify opportunities and risks for delivering the company’s services as a web-based business, including identification of competitive services, opportunities for innovation, and assessment of marketplace obstacles and technical hurdles to the business success. As our Product is already developed we expect the CTO to work with product development to implement new product features, apply new technologies and set up the engineering and development team to maintain, update and improve the web-application. Some specific responsibilities are listed below:

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• Collaborate with team and customers to define use cases.
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• Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.
• Establish and forecast ROI of features and succinctly articulate competitive advantage.
• Set-up data collection and analysis system in collaboration with CEO to track key performance.
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Strong fundamentals in computer science/engineering and algorithm design.
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Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.


About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 


Responsibilities:

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Minimum Requirements:

 

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  • Good understanding of mathematical foundations of machine learning algorithms.
  • Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

 

Other Nice-to-have Requirements:

 

  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
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  • Experienced in leading large-scale multi-engineering projects.
  • Flexible, and a positive team player with outstanding interpersonal skills.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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