Product Engineer

Role:

Product Engineer – Machine Learning

Experience:

5+ Years Employment Type:

Full-time

About Us We are a global technology company building a

unified platform for customer-facing experiences

, enabling organizations to deliver human, consistent, and scalable customer interactions across modern digital channels. Our products power some of the world’s most complex enterprise use cases, operating at massive scale and impact. We believe in building technology that blends

AI, data science, and product engineering

to create meaningful customer experiences—and we’re just getting started.

Role Overview As a

Product Engineer – Machine Learning

, you will design and deliver

next-generation machine learning solutions

for digital customer experience applications. This role is highly collaborative, combining deep technical expertise with product thinking to build scalable, production-grade ML systems.

What You Will Do Work closely with a collaborative team of

machine learning engineers and data scientists

. Build solutions across multiple ML disciplines including: Deep Learning Reinforcement Learning Computer Vision Natural Language Processing Speech Processing Partner with

Product Management and Design

teams to define scope, priorities, and delivery timelines. Collaborate with ML leadership to define and implement

technology and architectural strategies

. Take partial ownership of the

technical roadmap

, including: Planning and scheduling Milestones and delivery Risk identification and mitigation Technical trade-offs and course correction Design, deliver, and maintain

high-quality, scalable ML systems

in a cost-effective and timely manner. Identify opportunities to apply

cutting-edge research

to real-world product use cases. Stay current with

industry trends, emerging technologies, and data science advancements

, and integrate relevant innovations into workflows.

What Makes You Qualified Bachelor’s or Master’s degree in

Computer Science or a related quantitative field

(Tier-1 institute background preferred). 5+ years of hands-on experience in

Deep Learning

, with a strong track record in fast-paced, technically complex projects. Experience working with

Large Language Models

such as GPT-style models, BERT, Transformers, etc. Strong hands-on experience with

deep learning frameworks

like TensorFlow or PyTorch. Familiarity with

cloud-native deployment technologies

such as Docker and Kubernetes. Solid understanding of

software engineering best practices

, including: Coding standards Code reviews Source control (SCM) CI/CD pipelines Testing and production operations Strong communication skills with experience collaborating across

engineering, product, and business teams

.

Nice to Have Experience managing or mentoring

high-caliber ML engineers or data scientists

. Exposure to

multi-modal machine learning

and

Generative AI

use cases. Strong interest in the

ethical and societal impact of AI technologies

. A genuine passion for

AI and applied machine learning

.