Required Skills: MACHINE LEARNING, PYTHON, PYTORCH, TENSOR FLOW, MLOPS, MLFLOW, DOCKER, KUBERNETES, GENERATIVE AI
Job Description
We are seeking a highly skilled Senior AI Engineer to join our team in San Diego, CA. The ideal candidate will have strong expertise in AI/ML, Generative AI, LLMs, MLOps, and cloud-native AI deployment. This role requires hands-on experience in building, training, deploying, and optimizing scalable AI/ML solutions in production environments.
Required Skills:
- Strong experience in AI/ML, Machine Learning, and Artificial Intelligence
- Expertise in Python and deep learning frameworks such as PyTorch and TensorFlow
- Hands-on experience with Generative AI, LLMs, and GenAI applications
- Experience with MLOps tools such as MLflow
- Strong understanding of Docker and Kubernetes for containerization and orchestration
- Experience designing and deploying scalable AI solutions in cloud environments
- Knowledge of model training, fine-tuning, evaluation, and optimization
- Familiarity with data pipelines, API integration, and production-grade AI systems
- Excellent problem-solving and communication skills
Responsibilities:
- Design, develop, and deploy AI/ML and Generative AI solutions
- Build and optimize LLM-based applications and AI pipelines
- Implement scalable MLOps workflows and CI/CD practices
- Collaborate with cross-functional teams to integrate AI capabilities into products
- Monitor model performance and improve system reliability and scalability
- Work with containerized environments using Docker and Kubernetes
Preferred Qualifications:
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Experience with cloud platforms such as AWS, Azure, or GCP
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Exposure to RAG, vector databases, LangChain, or AI agents
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Prior experience in enterprise AI application development