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 environment where you can continue to grow technically and professionally. Remote Flexibility: Enjoy the freedom of working remotely while contributing to a global team.