Machine Learning Jobs in Web3

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Job Position Company Posted Location Salary Tags

Tech Mahindra

Guadalajara, Mexico

$27k - $90k

Braintrust

San Francisco, CA, United States

Zama

Remote

Worldcoin

remote

$81k - $110k

Ripple

New York, NY, United States

$61k - $80k

ZORA

Remote

$98k - $156k

TipTop

Remote

$165k - $260k

Waivlength

Remote

$140k - $180k

Next Big Thing AG

Berlin, Germany

Foundry

New York, NY, United States

$61k - $80k

Next Big Thing AG

Berlin, Germany

Ripple

San Francisco, CA, United States

$45k - $100k

Next Big Thing AG

Berlin, Germany

Next Big Thing AG

Berlin, Germany

Next Big Thing AG

Berlin, Germany

Tech Lead Machine Learning III

Tech Mahindra
$27k - $90k estimated

This job is closed

About us:

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates and Society to Rise™. We are a USD 6.0 billion company with 151,100+ professionals across 90 countries, helping 1224 global customers including Fortune 500 companies.

We are focused on leveraging next-generation technologies including 5G, Blockchain, Cybersecurity, Artificial Intelligence, and more, to enable end-to-end digital transformation for global customers. Tech Mahindra is one of the fastest-growing brands and amongst the top 15 IT service providers globally.

Tech Mahindra has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World’ by Corporate Knights. With the TechM NXT.NOW framework, Tech Mahindra aims to enhance ‘Human Centric Experience’ for our ecosystem and drive collaborative disruption with synergies arising from a robust portfolio of companies. Tech Mahindra aims at delivering tomorrow’s experiences today, and believes that the ‘Future is Now’.

What you’ll do:

  • Design and develop foundational micro-services exposing APIs using object-oriented programming language.
  • Design and develop scalable distributed data pipelines using cluster-compute frameworks.
  • Develop scalable system designs that solve business problems.
  • Apply best practices, algorithms, design patterns and data structures to produce maintainable code.
  • Demonstrate structured approach to software development (design, develop, test, instrument and monitor).
  • Act as a lead on design, code, operational reviews and be a team-player.
  • Mentor software and data engineers on the team.

Who you are:

  • Bachelors or Master’s or equivalent technical work experience.
  • 8+ years of work experience developing software in production.
  • Proficient in one or more object-oriented programming languages such as Java, Scala.
  • Developed and maintained software systems in a production environment.
  • Experienced working in a lean and agile environment.
  • Top 3 desired skill sets – Java, large-scale web services and distributed systems (Spark, Storm or Flink)
  • Prior experience working with AWS technologies such as EC2, DDB, S3, API Gateway, Data Pipelines.

Benefits:

  • 100% Payroll Schema
  • Saving fund
  • Food Coupons
  • Cell phone payment Support
  • Remote work support
  • PTU
  • 15 vacation days since your first year
  • 25% of Vacation Bonus
  • Christmas Bonus
  • Major Medical Insurance for Collaborator and immediate dependents (Spouse and children).
  • Minor Medical Insurance for Collaborator and immediate dependents (Spouse and children).
  • Life Insurance.
  • Paternity Leave.
  • Marriage Leave.
  • Special Leave for a deceased direct family member.
  • Days for Sick Leave.
  • Training and support for certifications.

Is machine learning a good career?

Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it

As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data

Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process

Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more

These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology

The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive

However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science

It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field

If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.