The Role
Lead the design, development, deployment, and optimization of production AI and machine learning systems. Manage end-to-end model lifecycles, collaborate with data science, engineering, and product teams, and ensure model robustness, fairness, and explainability. Mentor junior engineers while contributing to AI engineering practices. Work may include LLMs, RAG, agentic AI, computer vision, real-time inference, edge AI, and MLOps infrastructure.
Summary Generated by Built In
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 lifecycles 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.
- 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 TensorFlow, 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.
- 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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 5+ years of experience in AI or machine learning engineering
- Strong portfolio of deployed AI or machine learning models
- Proficiency in Python and machine learning libraries including TensorFlow, PyTorch, or Scikit-learn
- Experience with cloud platforms such as AWS or Azure
- Experience with MLOps tools
- Strong understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving and communication skills
- PhD in a related field
- Experience with LLMs, RAG, or agentic AI systems such as Crew AI
- 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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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
