Gen AI/ML Engineer
17 hours ago
Location: Austin, TX- (Onsite)
Type : Contract
Job Requirement:
Key Responsibilities:
- Design, develop, and deploy AI/ML models, with a focus on Generative AI and autonomous agents.
- Implement LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications.
- Develop and optimize multi-modal AI systems (text, image, audio, video) using state-of-the-art techniques.
- Work with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities.
- Collaborate with cross-functional teams to integrate AI-powered solutions into products and services.
- Conduct research, experiment with emerging AI frameworks, and optimize model performance.
- Ensure scalability, efficiency, and ethical considerations in AI solutions.
- Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or a related field.
- 3+ years of experience in AI/ML development, with expertise in Generative AI and AI agents.
- Proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers.
- Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
- Strong understanding of NLP, deep learning, and model fine-tuning techniques.
- Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
- Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
- Strong problem-solving skills, ability to work independently and collaboratively.
Preferred Qualifications:
- Experience with self-learning AI agents, autonomous workflows, or multi-agent systems.
- Background in graph-based AI, symbolic reasoning, or cognitive architectures.
- Contributions to open-source AI/ML projects or research publications in relevant domains.
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