Sr AI/ML Lead Engineer jobs in United States
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Jobs via Dice · 12 hours ago

Sr AI/ML Lead Engineer

Global Bridge InfoTech Inc. is seeking a hands-on Lead AI/ML Engineer to design, build, and operationalize intelligent, scalable AI systems that solve complex business problems. This role involves integrating AI solutions and driving production-grade AI platforms from concept to deployment.

Computer Software

Responsibilities

Design, develop, and deploy production-grade machine learning models for prediction, classification, anomaly detection, and optimization
Work hands-on with Python-based AI/ML stacks to build scalable and maintainable solutions
Continuously evaluate model performance and apply improvements to accuracy, robustness, and efficiency
Build and operationalize Generative AI solutions using LLMs, embeddings, and retrieval techniques
Design Agentic AI workflows that automate multi-step reasoning, decision-making, and task execution
Implement RAG pipelines, vector databases, prompt orchestration, and memory frameworks
Integrate GenAI systems seamlessly into existing enterprise applications and data platforms
Architect and enhance conversational AI systems, including chatbots and virtual assistants
Develop multi-turn dialogue systems leveraging LLMs, transformers, and contextual memory
Exposure to Ontology and Knowledge Graphs is a strong plus for semantic understanding and contextual retrieval

Qualification

AI/ML engineeringPythonML frameworksGenerative AICloud platformsDockerKubernetesCommunication skills

Required

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
Proven hands-on experience in AI/ML engineering with strong proficiency in Python
Proven experience delivering production AI/ML solutions (not just research or PoCs)
Strong expertise in ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, etc.)
Hands-on experience with LLMs, NLP, and Generative AI frameworks
Solid understanding of neural networks, including CNNs, RNNs, transformers, and attention mechanisms
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Strong communication skills and the ability to lead cross-functional initiatives

Company

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Funding

Current Stage
Early Stage
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