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 Tensor Flow 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 .