What are the responsibilities and job description for the Senior AI Engineer position at Tiger Analytics Inc.?
Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.
As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.
The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.
Key Responsibilities:
- Design and implement AI algorithms and models to solve real-world problems.
- Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
- Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
- Develop technical documentation as well as customer-facing documentation and presentations.
- Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 5 years of experience in AI/ML development with demonstrated success in deploying machine learning models to production.
- Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with cloud-based AI services such as AWS, Google Cloud, or Azure.
- Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions.
- Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders.
Preferred Skills:
- Experience with natural language processing (NLP) or computer vision applications.
- Knowledge of MLOps principles and tools.
- Familiarity with version control systems (e.g., Git) and Agile methodologies.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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