AI/ML Lead

Job Title: AI/ML Lead Location: Dallas, TX, USA Job Summar yWe 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 Responsibilitie • sDesign, 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 Skill • sStrong 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 Skill • sExperience 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) .Qualification • sBachelor’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 .