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
Technical Skills Required
Benefits & Perks
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.
- 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.
- 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.
- 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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