
Machine Learning Architect
1 day ago
We are seeking a highly skilled AI Engineer to join our team. The ideal candidate will have extensive experience in machine learning and AI engineering.
- Responsibilities:
- Design and develop agentic AI systems that can automate business processes with minimal human intervention.
- Fine-tune large-scale pre-trained models using techniques like PEFT, SFT, and adapt them for specific applications and domains.
- Develop end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
- Collaborate with cross-functional teams to define AI product requirements and deliver innovative solutions.
- Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields.
- Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
- Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.
- Minimum 5+ years of hands-on experience in machine learning and AI engineering.
- Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
- Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
- Strong experience in prompt engineering to optimize AI models performance.
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
- Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
- Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
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