AI Technical Lead

<strong>Job Requirements </strong><br><p>At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.</p><p> </p><p><strong style="color: black;"> Developing AI / Gen AI Models and Algorithms:</strong></p><p><strong style="color: black;">  </strong><span style="color: black;">* Designing, building, and training machine learning and deep learning models.</span></p><p><span style="color: black;">   * Implementing algorithms for tasks like natural language processing (NLP), computer vision, and predictive analytics.</span></p><p><strong style="color: black;">* Integrating AI into Applications:</strong></p><p><strong style="color: black;">   * </strong><span style="color: black;">Embedding AI functionalities into existing software systems and applications.</span></p><p><span style="color: black;">   * Developing APIs and interfaces for AI-powered features.</span></p><p><strong style="color: black;">* Data Handling and Processing:</strong></p><p><span style="color: black;">   * Working with large datasets, including data cleaning, preprocessing, and feature engineering.</span></p><p><span style="color: black;">   * Ensuring data quality and integrity for AI model training.</span></p><p><strong style="color: black;">* Collaboration and Communication:</strong></p><p><span style="color: black;">   * Working closely with data scientists, engineers, and stakeholders.</span></p><p><span style="color: black;">   * Communicating technical concepts to non-technical audiences.</span></p><p><strong style="color: black;">* Optimization and Deployment:</strong></p><p><span style="color: black;">   * Optimizing AI models for performance, scalability, and efficiency.</span></p><p><span style="color: black;">   * Deploying AI solutions to production environments.</span></p><p><strong style="color: black;">* Staying Current with AI Trends:</strong></p><p><strong style="color: black;">   * Continuously learning and researching the latest AI technologies and advancements.</strong></p><p><strong>Managing AI Projects </strong></p><ul><li><span style="color: black;">Manage and lead AI projects</span></li><li><span style="color: black;">Guide, mentor, and upskill data scientists, ML engineers, and analysts</span></li><li><span style="color: black;">Planning team capacity and allocating tasks based on strengths </span></li><li> </li></ul><br><br><strong>Work Experience </strong><br><ul><li><strong>Strong expertise in AI/ML technologies</strong> including machine learning, deep learning, NLP, LLMs, and model evaluation techniques.</li><li><strong>Hands‑on experience with AI engineering tools</strong> such as Python, TensorFlow/PyTorch, cloud ML platforms (Azure, AWS, GCP), and MLOps frameworks.</li><li><strong>Proven ability to lead and mentor teams</strong> of data scientists, ML engineers, and developers, with a focus on coaching, reviews, and skill development.</li><li><strong>Experience managing end‑to‑end AI solution lifecycle</strong>—problem discovery, data preparation, model development, deployment, and monitoring.</li><li><strong>Strong understanding of data architecture</strong> including data pipelines, feature engineering, model governance, and data quality.</li><li><strong>Ability to translate business needs into AI use cases</strong> and communicate complex technical concepts to non‑technical stakeholders.</li></ul><br><br><strong>Benefits </strong><br><p>NA</p><br><br>