Job Title: AI/ ML Architect
Location: Corpus Christi Texas
Skills required
- Core AI/ML: Deep Learning Transformers Reinforcement Learning NLP Computer Vision.
- Cloud & Infrastructure:Azure (since IBM often partners or competes in this space) AWS or IBM Cloud (Watson).
- Big Data Tech: Spark Kafka Kubernetes (K8s) Docker and Vector Databases (e.g. Pinecone Milvus).
- LLM & Generative AI: Given current trends experience with LangChain LlamaIndex and fine-tuning Large Language Models is a significant plus.
- System Design over Model Building: Evidence that the candidate understands how to integrate AI into existing enterprise infrastructure.
- Scalability & MLOps: A focus on how models are deployed monitored and maintained (CI/CD for ML).
- Platform Experience: Experience building or managing internal AI platforms that multiple data science teams use
- Very Good communication
- Architectural thinking to design complex AI/ ML systems/ Platforms.
- Technically strong to work in challenging environment.
Required Skills:
Core AI/MLSparkKafkaKubernetes
Job Title: AI/ ML Architect Location: Corpus Christi Texas Skills required Core AI/ML: Deep Learning Transformers Reinforcement Learning NLP Computer Vision. Cloud & Infrastructure:Azure (since IBM often partners or competes in this space) AWS or IBM Cloud (Watson). Big Data Tech: Spark Kafka Kuber...
Job Title: AI/ ML Architect
Location: Corpus Christi Texas
Skills required
- Core AI/ML: Deep Learning Transformers Reinforcement Learning NLP Computer Vision.
- Cloud & Infrastructure:Azure (since IBM often partners or competes in this space) AWS or IBM Cloud (Watson).
- Big Data Tech: Spark Kafka Kubernetes (K8s) Docker and Vector Databases (e.g. Pinecone Milvus).
- LLM & Generative AI: Given current trends experience with LangChain LlamaIndex and fine-tuning Large Language Models is a significant plus.
- System Design over Model Building: Evidence that the candidate understands how to integrate AI into existing enterprise infrastructure.
- Scalability & MLOps: A focus on how models are deployed monitored and maintained (CI/CD for ML).
- Platform Experience: Experience building or managing internal AI platforms that multiple data science teams use
- Very Good communication
- Architectural thinking to design complex AI/ ML systems/ Platforms.
- Technically strong to work in challenging environment.
Required Skills:
Core AI/MLSparkKafkaKubernetes
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