Google CX Developer

Reposted 2 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
Hybrid
Mid level
Information Technology • Database • Consulting
The Role
Design, develop, deploy, and optimize machine learning models and AI solutions. Collaborate with data scientists and software engineers to integrate models into production, analyze complex datasets, maintain documentation, and stay current with advances in AI and ML.
Summary Generated by Built In

An AI & ML Engineer is responsible for designing, developing, and implementing machine learning models and artificial intelligence solutions to solve complex problems. This role involves working closely with data scientists, software engineers, and other stakeholders to integrate AI/ML models into production systems and ensure their optimal performance.

Responsibilities

Design, develop, and deploy machine learning models and algorithms.
Collaborate with data scientists and software engineers to integrate models into production systems.
Analyze large, complex datasets to extract actionable insights.
Optimize AI and ML solutions for performance and accuracy.
Stay updated with the latest advancements in AI and ML technologies.
Document and maintain AI/ML models, experiments, and processes.

Qualifications

Bachelor Degree in relevant field with 2 - 4 years of relevant experience

Skills Required

  • Bachelor's degree in a relevant field
  • 2–4 years of relevant experience

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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