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Lead AI Engineer: Build Scalable ML & AI Solutions

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Anblicks Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services.

Key Responsibilities:
  • Design, develop, and deploy scalable AI/ML models for production environments.
  • Lead end-to-end AI project life cycles from data collection and preprocessing to model training, evaluation, and deployment.
  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers.
  • Optimize model performance and ensure robustness, fairness, and explainability.
  • Stay current with the latest research and advancements in AI and machine learning.
  • Mentor junior engineers and contribute to building a strong AI engineering culture.
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
  • 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
  • Proficiency in Python and ML libraries such as Tensor Flow, PyTorch, Scikit-learn, etc.
  • Experience with cloud platforms (AWS, Azure) and MLOps tools.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Excellent problem-solving and communication skills.
Preferred Qualifications:
  • Experience with LLMs, RAG, or agentic AI (Crew AI) systems.
  • Familiarity with vector databases, prompt engineering, and AI safety practices.
  • Contributions to open-source AI projects or published research papers.
  • Experience with real-time inference systems and edge AI.
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