Job Title: AI/ML Engineer

Company Name: Codius Technologies

Job Url: https://www.simplyhired.com/job/h43gXfW7-fO3sYvSRS-3Hfws7zu7J6FVmVtDGCNfTahl049N704Plg

Job Description: AI/ML Engineer
Codius Technologies
Remote

Job Details
Full-time
$100,000 - $250,000 a year
14 hours ago
Benefits
Health insurance
Dental insurance
Paid time off
Parental leave
401(k) matching
Qualifications
TensorFlow
Looker
Data Integration (Data management)
Data mining
PyTorch
SAS
Spark
R
UNIX
NoSQL
Application deployment
Google Cloud Platform
Mid-level
Scalable systems
SAS language
3 years
Java
Bash
SQL
Spark implementation
C
Model deployment
Natural language processing
Data analytics
Talend
Linked data
VBA
Scalability
Model training
Data visualization
Distributed computing
Unsupervised learning
Machine learning libraries
Real-time data processing implementation
AI
Cross-functional collaboration
Research & development
Machine learning frameworks
Cross-functional communication
Hadoop
Database software proficiency
Full Job Description
Job Overview
We are building Codius, the world's first self-evolving AGI designed to revolutionize software development. Our mission is to create an intelligence that not only assists developers but learns, adapts, and re-architects entire systems autonomously. We are looking for an expert to join our core team to help build the foundational AI models that power this vision

Your Role:

You will be a key contributor to the core AGI development, working on the models that will allow Codius to understand, analyze, and self-modify code. This is a unique opportunity to work on a neuro-symbolic system that blends deep learning with a new, self-modifying programming language.

Responsibilities

Design, train, and fine-tune AI models for code analysis, bug detection, and intelligent optimization of models using frameworks such as TensorFlow & other ML Libraries
Work on the "neuro" aspect of our neuro-symbolic AGI, building models that can learn from vast codebases.
Collaborate with our full-stack team to integrate AI models into the core application.
Contribute to the development of our self-evolving AGI core, specifically on the models that enable it to learn from real-time data.
Design and implement scalable ETL (Extract, Transform, Load) processes to prepare large datasets for analysis.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Utilize big data technologies like Hadoop and Spark for data mining, processing, and analytics on large datasets.
Deploy machine learning models into production "sandbox" environments ensuring robustness and efficiency.
Conduct research on advanced AI techniques including natural language processing (NLP), unsupervised learning, and quantum engineering applications.
Design database schemas and manage data storage solutions to support analytics initiatives using SQL, NoSQL, or linked data approaches.
Leverage cloud platforms such as GCP & OCI for model training, deployment, and scaling of AI applications.
Use programming languages like Python, Java, C, Bash (Unix shell), VBA, and R for development tasks.
Apply data visualization tools such as Looker to communicate insights effectively across teams.
Experience

3+ years of experience in Machine Learning, Deep Learning, or a related field.
Expertise with AI frameworks like PyTorch or TensorFlow.
Strong background in Natural Language Processing (NLP) or models for code understanding.
Proficiency in Python and a passion for working at the cutting edge of AI.
Experience with distributed training is a major plus.
Proven experience in machine learning model development from conception through deployment in a production environment.
Strong knowledge of machine learning frameworks including TensorFlow and other relevant libraries.
Hands-on experience with big data tools such as Hadoop, Spark, Talend, and SAS for data processing and analytics.
Demonstrated ability to work with cloud services like GCIP & OCI for scalable AI/ML solutions.
Familiarity with database design principles along with proficiency in SQL; experience with linked data is a plus.
Experience in natural language processing (NLP), data mining techniques, and model training methodologies.
Understanding of analytics concepts combined with practical experience in deploying models for real-world applications. Join us in shaping the future of intelligent technology! We’re committed to fostering an innovative environment where your skills can thrive while making meaningful contributions that propel our organization forward.
Job Type: Full-time

Pay: $100,000.00 - $250,000.00 per year

Benefits:

401(k) matching
Dental insurance
Health insurance
Paid time off
Parental leave
Work Location: Remote