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AI Solutions Developer
2 weeks ago
Job Summary:
We are seeking an experienced Machine Learning Architect to design, develop and deploy AI solutions that can autonomously perform tasks with minimal human intervention.
Roles and Responsibilities:
- AI Development: Design, develop and optimize domain-adaptive agentic AI systems that automate business processes.
- Model Optimization: Work with large-scale pre-trained models to fine-tune them for specific applications and domains, evaluating and optimizing for performance, accuracy and efficiency.
- Prompt Engineering: Design prompts to enhance model responses, ensuring alignment with use case requirements.
- Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment and continuous improvement in production environments.
- Collaboration and Research: Work closely with cross-functional teams and stay current with the latest research and developments in generative AI, deep learning, NLP and related fields.
- Model Deployment: Deploy machine learning models at scale, optimizing for latency, throughput and robustness in production environments.
- Documentation and Communication: Maintain clear documentation of models, workflows and experiments, and communicate results effectively to stakeholders.
Requirements:
- Experience: Minimum 5+ years of hands-on experience in machine learning and AI engineering.
- 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.
- Soft Skills: Strong problem-solving and analytical skills; excellent communication and teamwork abilities to collaborate with stakeholders.