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Job Description:
Position Overview: We are seeking a highly skilled and motivated AI Engineer to join our growing team at Fulcrum Digital. As an AI Engineer, you will play a crucial role in developing and implementing AI solutions that drive business value for our clients. You will work on a variety of projects, collaborating with cross-functional teams to deliver innovative AI-driven applications.
Key Responsibilities:
Algorithm Development:
Model Deployment:
Data Analysis:
Collaboration:
Continuous Learning:
Qualifications:
Preferred Skills:
Job ID: 148569565
Skills:
BigQuery, Google Cloud Platform, Sql, Python, ML Agent Development Framework, third-party LLMs, Cloud Build, Anthropic, Azure OpenAI, message-driven development, AI services, Document AI, GitHub Actions, microservices architecture, Vertex AI, CI CD pipelines, OpenAI, Gemini, API-driven development, Google Agent Development Kit
Skills:
text classification , Machine Learning, Tensorflow, Nosql, Numpy, Nlp, Pytorch, Python, Matplotlib, Redis, Deep Learning, Git, Pandas, Linux, Opencv, Seaborn, MongoDB, FastAPI, Ocr, Google Gemini, VS Code, Image Classification, Generative AI, OpenAI GPT, YOLO
Skills:
bedrock , Tensorflow, Pytorch, Neo4j, Python, Databricks, FastAPI, pgvector, GPT-4o, MLflow, Pinecone, Azure OpenAI, CLIP, OpenSearch, Whisper, LangGraph, AWS Neptune, GCP Vertex AI, BERT, LLaVA, RLHF, CrewAI, PEFT, T5, AutoGen, AWS SageMaker, LoRA, Gemini
Skills:
bedrock , Sql, REST, FastAPI, Python, Airflow, pgvector, RAGAs, OPA Gatekeeper, Ray, Pinecone, Azure OpenAI, Prefect, OpenSearch, GRPC, Semantic Kernel, LangGraph, Presidio, Vertex AI, OpenAI, Weaviate, Promptfoo
Skills:
data engineering , Nosql, Python, AWS, Apis, Sql, Gcp, Azure, Anthropic Claude, embeddings, vector search, vector databases, Azure OpenAI, AI-ready systems, backend systems, RAG pipelines, LangChain, LLMs, Semantic Kernel, structured data pipelines, unstructured data pipelines, scalable architectures, OpenAI, LlamaIndex
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