Staff AI/ML Engineer - Tech Lead

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

• 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.
• 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.
• 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.
• 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.
• 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.

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