Senior Machine Learning Engineer

Posted 17 Hours Ago
Be an Early Applicant
Mumbai, Maharashtra
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
The Senior Machine Learning Engineer will specialize in developing solutions to complex business problems through machine learning and analytics. Responsibilities include interfacing with clients, architecture development, model testing, and maintaining clear communication for effective delivery with the offshore team.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Be(come) a Machine Learning expert and lend your skill set to solving tough business problems
Interface with client companies to understand their business pain points and identify where data science and analytics can be the solution
Develop high-level solution architectures and work with our offshore team to build, test, and assess models to predict and optimize business outcomes
Work closely with the offshore delivery manager to ensure a seamless delivery and communication cadence
Communicate complex concepts and insights in a clear and interpretable manner
Maintain an entrepreneurial spirit as you learn new ways to solve problems

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

Python
The Company
HQ: Marlborough, MA
3,494 Employees
On-site Workplace
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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