Artificial Intelligence Engineer - Machine Learning Model (2-4 yrs)

Why Join ContactPoint360 :

At ContactPoint360, we think differently. We believe in putting employees at the heart of everything we do, creating a culture where innovation and empathy are not just buzzwords but a way of life. Here, you won't just be a coworker; you'll be part of a team that redefines both employee and customer experiences. Our coworkers are essential partners in delivering exceptional work and are also friends who support and uplift each other.

We are one of the fastest-growing BPOs in the world, and our secret is simple: it's our people. We invest in our people and develop them into future leaders. Did you know that 50% of ContactPoint360's leaders were promoted from within? Our CEO's journey, starting as a phone agent, reflects our commitment to genuine care for our people-it's in our DNA.

Join the #ChangeMakers movement at ContactPoint360, where your creativity and passion aren't just welcomed-they're essential.

Role Objectives :

- Design and implement advanced conversational AI solutions

- Develop intelligent agent assistance features

- Optimize real-time natural language understanding and generation

- Enhance customer interaction quality through AI technologies

Key Responsibilities :

- Design and develop machine learning models for intent recognition

- Create context-aware dialogue management systems

- Implement real-time inference optimization techniques

- Build robust natural language understanding pipelines

- Develop and maintain speech recognition and synthesis components

- Conduct performance testing and model evaluation

- Collaborate with product and engineering teams

Required Technical Skills :

- Advanced proficiency in Python

- Deep learning frameworks (TensorFlow/PyTorch/JAX)

- Natural Language Processing techniques

- Machine learning model development

- Real-time system design

- Experience with transformer models

- Knowledge of dialogue systems architecture

- Knowledge of distributed training strategies

- Knowledge of model compression techniques

Technical Competencies :

Expertise in :

- Conversational AI

- Machine Learning

- Speech recognition

- Intent/entity extraction

- Context tracking

- Dynamic response generation

Preferred Background :

- Bachelor's or Master's in Computer Science, AI, Computational Linguistics-

- 2-5 years professional experience in conversational AI

Preferred Qualifications :

- Published research or significant contributions in NLP/AI domains

Soft Skills :

- Strong problem-solving abilities

- Excellent communication skills

- Collaborative team player

- Innovative thinking

- Adaptability in rapidly evolving AI landscape