AI/ML Lead

Job Description

Job Description About Onix We a trusted cloud consulting company and leading Google Cloud partner that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the data migration products that unleash AI potential. We are able to deliver exceptional results for our customers because of our 20+ year partnership with Google Cloud, depth of technology expertise, and IP-driven data and AI solutions. We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry. About the Role We are seeking an experienced AI/ML professional to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Required Skills & Qualifications 7+ years of experience in AI/ML architecture, model development, and production deployment. Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions. Hands-on experience with frameworks like LangChain, Retrieval-Augmented Generation (RAG), and advanced prompting techniques. Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting. Experience working with cloud platforms, primarily GCP, with optional experience in AWS or Azure. Strong understanding of MLOps tools, pipelines, and model monitoring in production. Proficiency in Python and SQL for model development and data processing. Experience with data preprocessing, ETL workflows, and feature engineering for AI applications. Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions. Experience working with large datasets for structured and unstructured AI applications. Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies. Proven track record of leading POCs/pilots and scaling them to production-grade deployments. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF). Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership, mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.