AI Engineer
Amiseq Inc.
Greenwood Village, CO, United States
8 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
.NET Framework
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Computer Vision
JIRA
Microsoft Azure
Big Data
C Sharp (Programming Language)
Cloud Computing
+23 more
Cloud Engineering
Computer Programming
Information Engineering
Linux
R (Programming Language)
Apache Hadoop
Python (Programming Language)
Machine Learning
Natural Language Processing
Trello
Scripting
LangChain
Apache Spark
Deep Learning
AI Platforms
Kubernetes
Data Analytics
Ollama
Semantic Kernel
Docker
Unsupervised Learning
Databricks
Microservices
Job description
Job Summary: We are seeking a highly skilled and motivated AI Engineer for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Engineer will preprocess and analyze large datasets, implement machine learning and deep learning algorithms, and integrate AI systems into existing applications.
Requirements
- Experience: Minimum of 5 years of experience in AI projects, data science, or a related field.
-
Skills:
- Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
- Proficiency in programming languages like Python, .Net, C# and R
- Hands on experience in use of AI frameworks such as Semantic Kernel, LangChain, LangGraph, Crew AI etc.
- Proficiency in Linux/Unix environment (including scripting), Docker, Kubernetes, and related services for model deployments
- Strong understanding of cloud technologies (Azure & AWS), APIs, and microservices.
- Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies.
- Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).
- Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).
- Experience in designing AI Solutions using on premise and Cloud technologies.
- Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.
- Demonstrated ability to manage multiple projects simultaneously and prioritize effectively.
- Strong problem-solving, analytical, and communication skills.
- Knowledge of AI ethics and regulatory compliance frameworks.
- Proficiency with data engineering and cloud architecture principles.
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