Position Title: Staff AI/ML Engineer - Tech Lead

Location: Remote

Department: Engineering

Reports To: Head of AI Engineering

Company: unifyCX

Company Overview:

unifyCX is an innovative, emerging Global Business Process Outsourcing (BPO) company. With a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines, we provide cutting-edge technology solutions to businesses worldwide. Our AI-driven customer experience solutions help transform customer interactions, ensuring efficiency and personalization at scale.

Role Overview:

We are seeking an experienced, motivated, and challenge-driven Staff AI/ML Engineer with expertise in language models to join our team. As a Tech Lead in our AI Engineering team, you will architect, design, and implement state-of-the-art machine learning models, focusing on enhancing human-AI interactions. Your role will be crucial in creating robust, scalable AI solutions for our next-gen omnichannel customer experience platform, Lightbird.

Key Responsibilities:

1. AI/ML Model Development:

- Design, Train, and Optimize Models: Develop cutting-edge domain-aware machine learning models using both classical ML and advanced deep learning architectures.
- Multi-modal AI: Work on multi-modal approaches, integrating text, audio, and contextual data to create AI copilots capable of nuanced human interactions.
- Handle Complex Modeling Challenges: Address issues like sparse data, multi-turn dialogues, and domain adaptation by leveraging deep knowledge of AI fundamentals.

2. Build and Maintain Scalable Solutions:

- ML Pipelines: Design, build, and maintain robust machine learning pipelines covering data ingestion, feature engineering, model training, and model deployment to ensure they perform efficiently at scale.
- Optimization:



Proactively identify and resolve bottlenecks in data processing or inference, ensuring minimal latency and optimal throughput.
- Model Monitoring: Implement practices to track latency, accuracy, and model drift to maintain performance post-deployment.

3. Research & Innovation:

- Stay Ahead of Trends: Keep up-to-date with the latest advancements in AI/ML research, translating innovative ideas into tangible product features.
- Proof-of-Concepts: Lead the creation of proof-of-concepts for emerging algorithms and technologies, showcasing their potential to transform customer experience.

4. Cross-functional Collaboration & Agile Practices:

- Collaborate with Teams: Work closely with data scientists, software engineers, and product managers to drive new AI-powered product initiatives.
- Agile Development: Participate in sprints, code reviews, and iterative development to accelerate product delivery while maintaining high-quality standards.

5. Leadership and Mentorship:

- Technical Leadership: Lead key AI/ML initiatives, ensuring alignment with business goals while making architectural decisions for scalable and maintainable solutions.
- Mentorship: Mentor junior engineers, guiding them through complex algorithmic challenges and code reviews, and fostering a culture of continuous learning.
- Stakeholder Communication: Communicate technical details to non-technical stakeholders effectively, ensuring informed decisions.

Qualifications:

Required:

- Education:



Master's degree in Computer Science, Electrical Engineering, Applied Math, Physics, or related field.
- Experience: Minimum of 10 years of hands-on industry experience or 7 years post-master's (or 4 years post-Ph.D.) specializing in machine learning.
- Technical Expertise:
- Proficient in Python and experienced with PyTorch, TensorFlow, and other deep learning frameworks.
- Strong knowledge of transformer architectures, RNNs, and text embedding techniques.
- Experience deploying and maintaining production ML models on AWS, GCP, or Azure.
- Familiarity with CI/CD pipelines, containerization, and model monitoring.
- Knowledge of version control using Git and project management tools such as JIRA/Asana.

Preferred:

- Ph.D. in Machine Learning, Computer Science, or a related field.
- Experience in high-compliance industries like healthcare, finance, or cybersecurity.
- Contributions to open-source projects or academic publications showcasing thought leadership in AI.
- Expertise in real-time processing, distributed systems, and scalable model serving.

Key Skills:

- Machine Learning (ML)
- Artificial Intelligence (AI)
- Deep Learning
- Natural Language Processing (NLP)
- Python
- PyTorch/TensorFlow
- Cloud Platforms (AWS, GCP, Azure)
- MLOps & Model Deployment
- CI/CD
- Model Monitoring & Optimization
- Agile Development
- Technical Leadership & Mentorship

Why Join unifyCX

- Impact: Work on pioneering projects at the intersection of AI and human-centric services, directly impacting customer experiences worldwide.
- Growth: Thrive in a collaborative and innovative setting where you can continue to grow technically and professionally.
- Remote Flexibility: Enjoy the freedom of working remotely while contributing to a global team.

📌 Staff AI/ML Engineer - Tech Lead (Mangalore)
🏢 Glowtouch Technologies Private
📍 Mangalore