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Senior AI Engineer

Roles & Responsibilities

  • 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 Python and libraries such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure

Requirements:

  • 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 AI solutions
  • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes
  • Develop technical and customer-facing documentation and presentations, and stay updated with AI research and trends to drive innovations

Job description

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.

Requirements

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.

Benefits

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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