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: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. .