
Senior Machine Learning Engineer
4 days ago
We are seeking a skilled Artificial Intelligence Architect to join our team.
Job Description:The successful candidate will be responsible for designing, developing, and optimizing domain-adaptive agentic AI systems that automate business processes.
Key Responsibilities:
- Agentic AI Development: Design, develop, and optimize domain-adaptive agentic AI systems that help automate business processes.
- Large Language Model Fine-Tuning: Work with large-scale pre-trained models to fine-tune them using techniques like PEFT and SFT, adapting them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
- Prompt Engineering: Design prompts with techniques like Chain of Thought and Few Shot to enhance model responses, ensuring that model outputs align with use case requirements.
- AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
- Cross-functional Collaboration: Collaborate closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
- Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure the organization stays at the forefront of technology.
- Scaling & Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
- Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.
Required Skills:
Technical Skills:
- 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.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
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