ML Engineer

Conch Technologies
Schaumburg, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 108K

Job location

Remote
Schaumburg, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Databases
Continuous Integration
DevOps
Python
PostgreSQL
Machine Learning
MySQL
NLTK
TensorFlow
Data Streaming
Real Time Systems
PyTorch
Large Language Models
Generative AI
Keras
Build Management
Information Technology
Virtual Agents
Functional Programming
Spacy
Stream Processing
Data Pipelines
Docker
Unsupervised Learning
Redshift

Job description

  • Build and deploy advanced ML/AI models and GenAI applications
  • Develop APIs and scalable AI-driven solutions
  • Create real-time data pipelines and streaming systems
  • Work with stakeholders for feature planning and implementation
  • Apply NLP, ML, and DL techniques to solve business problems
  • Develop visualizations to communicate insights effectively
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Requirements

We are seeking an experienced ML Engineer with strong expertise in Machine Learning, AI, GenAI, and cloud technologies. The ideal candidate will design, build, and deploy scalable ML solutions, real-time streaming pipelines, and AI-driven applications. Hybrid candidates in Schaumburg, IL are highly preferred. Required Skills:

  • BS in Computer Science / Data Science with 5+ years experience OR MS with 2 3+ years experience
  • Strong Python programming skills
  • Strong knowledge of Linux operating systems
  • Experience with AI/ML, supervised & unsupervised learning, GenAI, LLMs
  • Hands-on experience with PyTorch, TensorFlow, Keras, NLTK, spaCy
  • Experience implementing clustering models such as DBSCAN
  • Experience designing scalable APIs for real-time applications
  • Strong experience with AWS (EC2, Kinesis, S3, Lambda), Azure, or GCP
  • Experience building real-time streaming pipelines using Docker & Kubernetes
  • Strong knowledge of CI/CD, DevOps, and test automation
  • Experience integrating data from databases, files, APIs, and logs
  • Database experience with Postgres, Redshift, MySQL
  • Strong quantitative, statistical, and communication skills

About the company

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