I

Senior AI/ML Engineer

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, build, and deploy intelligent solutions across multiple domains. Work on cutting-edge projects involving NLP, Generative AI, and Computer Vision. Collaborate with full-stack engineers to integrate ML models into applications.

Key Highlights
Design and deploy machine learning models for various tasks
Develop and implement AI-powered agents to automate complex workflows
Apply AI/ML techniques to social media datasets for sentiment analysis and user behavior modeling
Collaborate with full-stack engineers to integrate ML models into applications
Create and maintain robust data pipelines to support model training and inference
Technical Skills Required
Python NumPy Pandas Scikit-learn TensorFlow PyTorch OpenCV MLflow Kubeflow Docker
Benefits & Perks
Competitive compensation
Opportunities for growth
Full remote flexibility

Job Description


AI/ML Engineer

Location: Remote

Employment Type: Full-Time

We are seeking a versatile AI/ML Engineer to design, build, and deploy intelligent solutions across multiple domains. In this role, you will work on cutting-edge projects involving NLP, Generative AI, AI-powered agents, social media analysis, and computer vision. You will own the end-to-end ML lifecycle—from data processing and experimentation to production-grade deployment and optimization.

Responsibilities
  • Design, build, and deploy machine learning models for a variety of tasks, including NLP, Generative AI, and Computer Vision.
  • Develop and implement AI-powered agents (e.g., using LLMs, LangChain, RAG pipelines) to automate complex workflows and support business operations.
  • Apply AI/ML techniques to social media datasets for sentiment analysis, content moderation, and user behavior modeling.
  • Collaborate closely with full-stack engineers to integrate ML models into applications via REST APIs or other service architectures.
  • Create and maintain robust data pipelines to support model training, validation, and inference.
  • Optimize models for performance, scalability, and reliability in production environments.
Requirements
  • Proficiency in Python and core data science libraries (NumPy, Pandas, Scikit-learn).
  • 2+ years of hands-on experience building and deploying ML models.
  • Strong experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of NLP, Generative AI, and LLM architectures.
  • Proven ability to integrate ML models into real applications (e.g., via APIs).
  • Detail-oriented, resourceful, and able to work independently.
Bonus Points
  • Experience with agent development frameworks (LangChain, LlamaIndex).
  • Background in Computer Vision using OpenCV or similar libraries.
  • Familiarity with MLOps tools (MLflow, Kubeflow) and deployment workflows (Docker).
  • Experience working with social media APIs and large-scale datasets.
Why Join Us?
  • Work on cutting-edge AI projects spanning multiple domains and technologies.
  • Solve complex challenges and see your models deployed in production at Thundermkt.agency.
  • Competitive compensation, opportunities for growth, and full remote flexibility.



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