AI/ML Lead

Job Title: AI/ML LeadLocation: Dallas, TX, USAJob SummaryWe are seeking a highly skilled Software Development Engineer (AI/ML Lead) with strong expertise in Artificial Intelligence and Machine Learning. The ideal candidate will have proven experience in building, implementing, and customizing advanced AI/ML models, along with strong software engineering fundamentals. This role requires collaboration in a fast-paced, innovative environment.Key ResponsibilitiesDesign, develop, and implement AI/ML applications, with a focus on Large Language Models (LLMs) and their integration into enterprise systems.Develop scalable solutions using Python, R, or Java.Customize and optimize prebuilt models such as GPT, BERT, and DALL-E for business use cases.Architect and deploy high-performance LLM-based applications.Implement MLOps practices using tools like LangChain, LlamaIndex, and Ragas for model deployment and monitoring.Build applications leveraging Natural Language Processing (NLP) and Computer Vision.Collaborate with cross-functional teams to gather requirements and deliver solutions.Contribute to AI/ML research initiatives (papers, conferences, innovation programs).Stay up to date with the latest advancements in AI/ML technologies.Mandatory SkillsStrong hands-on experience in AI/ML development and implementation.Proficiency in Python, R, or Java.Expertise in deep learning frameworks: TensorFlow, PyTorch, or Keras.Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E).Knowledge of MLOps practices and tools.Experience with cloud platforms: AWS, GCP, or Azure.Hands-on experience with Docker and Kubernetes.Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, Google Vertex AI.Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Preferred SkillsExperience with AI/ML APIs and cloud AI services (Google AI, Azure AI, AWS SageMaker).Knowledge of Agile methodologies and modern software development practices.Contributions to AI/ML research (publications, conference presentations).QualificationsBachelor’s or master’s degree Computer Science, Engineering, or related field.Proven ability to lead AI/ML projects from design to deployment.Strong passion for innovation and emerging technologies.