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Job Description: AI Engineering Manager
Position Overview:
We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives.
Key Responsibilities:
· Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.
· Manage AI projects from inception to completion, coordinating cross[1]functional teams and resources effectively.
· Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.
· Mentor and guide team members, fostering a collaborative and innovative work environment.
· Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications:
· Proven experience in managing AI projects and teams.
· Strong knowledge of deep learning architectures such as CNNs and Transformers.
· Prior experience in the medical image analysis field is preferred.
· Proficiency in programming languages including Python, C, and C++.
· Experience in people management and team leadership.
Preferred Skills:
· Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
· Excellent communication skills and the ability to work collaboratively across teams.
· Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred.
Job ID: 107087721
Skills:
S3, Cpq, React, Lambda, Typescript, Javascript, Sns, Soql, Python, Api Gateway, AWS, RDS, Node.js, Cloudwatch, Iam, Sqs, LLM integration, EventBridge, Aurora, LangGraph, async processing, Steelbrick, Streaming APIs, LangChain, OpenAI API, Anthropic API, Salesforce platform
Skills:
bedrock , Json, Nosql, Lambda, Python, Api Gateway, Dynamodb, Sql, Jenkins, Xml, Rest Apis, LangGraph, high-performance large-scale AI ML systems, cloud-native architectures, ChromaDB, LangChain, CrewAI, AWS ML services, Generative AI, AI model risk management, PGVector, prompt engineering, SageMaker, FAISS
Skills:
BigQuery, Neural Networks, Deep Learning, Tensorflow, Cloud Storage, Nlp, Git, Pytorch, MLops, Docker, Keras, DataFlow, Python, Computer Vision, Agentic AI frameworks, LLMOps, API-based deployments
Skills:
Java, C, Unit Testing, software testing, Kotlin, Mobile App Development, Code, Javascript, Python, Codex, LLM application development, Claude, integration test design, Matter, AI Agent frameworks, Google Antigravity, RAG, Android device communication technologies
Skills:
data engineering , Software Development Life Cycle, Agile Methodologies, Full Stack Java, Automation, Application Resiliency, Continuous delivery methods, AI-assisted development, Ai, Security, Cloud native experience