
AI Software Specialist
3 days ago
AI Engineer Job Description
Key Responsibilities:
- Develop and deploy AI/ML models for real-world applications using Python, TensorFlow, PyTorch, or Scikit-learn.
- Work on large language models, natural language processing, computer vision, and predictive analytics projects.
- Optimize machine learning pipelines for performance and scalability.
- Collaborate with cross-functional teams including developers, data engineers, and product managers to deliver high-quality solutions.
- Stay updated with advancements in AI/ML and suggest improvements for implementation.
- Conduct experiments, validate results, and integrate solutions into production environments.
- Troubleshoot, monitor, and improve deployed models to ensure they meet business requirements.
Required Skills and Qualifications:
- 3–7 years of experience in AI/ML engineering roles.
- Strong proficiency in Python programming language and popular frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with large language models and fine-tuning models for specific tasks.
- Strong knowledge of machine learning pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes, FastAPI).
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment and management.
- Good understanding of software development practices, Git, CI/CD, and Agile methodologies.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Benefits:
- Opportunity to work on challenging AI/ML projects that drive business growth.
- Collaborative team environment with experienced professionals.
- Continuous learning and professional development opportunities.
Other Opportunities:
- Chance to work on MLOps and model monitoring projects.
- Exposure to vector databases and AI-driven search systems.
- Prior work in enterprise AI projects and collaborations.
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