Senior AI Software Developer

1 day ago

Mumbai, Maharashtra, India beBeeAIEngineer Full time ₹ 1,04,000 - ₹ 1,30,878
Job Description

The Role of a Senior AI Engineer

This is a key position in our organization where the successful candidate will play a pivotal role in developing and implementing cutting-edge artificial intelligence solutions.

As a senior AI engineer, you will be responsible for designing and developing AI models that can handle complex tasks and deliver high-quality results. You will work closely with cross-functional teams to ensure that our solutions meet the required standards and are aligned with our business objectives.

Key Responsibilities:

  •     1. Develop and implement AI/ML models that can handle complex tasks and deliver high-quality results.

  •     2. Collaborate with cross-functional teams to ensure that our solutions meet the required standards and are aligned with our business objectives.

  •     3. Design and develop software applications that utilize AI and ML algorithms to solve real-world problems.

  •     4. Work with data scientists and engineers to design and develop data pipelines that support the development of AI models.

  •     5. Implement and maintain large-scale machine learning systems that can handle high volumes of data.

  •     6. Develop and deploy containerized applications using Docker and Kubernetes.

  •     7. Ensure that our AI solutions are secure, scalable, and reliable.

  •     8. Stay up-to-date with the latest advancements in AI and ML and apply this knowledge to improve our solutions.

  •     9. Collaborate with product managers to define and prioritize project requirements.

  •     10. Work with quality assurance teams to ensure that our solutions meet the required quality standards.

Requirements:

  •     1. Bachelor's degree in Computer Science or related field.

  •     2. Minimum 5 years of experience in AI/ML engineering.

  •     3. Strong programming skills in languages such as Python, Java, and C++.

  •     4. Experience with deep learning frameworks such as TensorFlow and PyTorch.

  •     5. Familiarity with cloud platforms such as AWS, GCP, and Azure.

  •     6. Experience with containerization using Docker and orchestration using Kubernetes.

  •     7. Strong analytical and problem-solving skills.

  •     8. Excellent communication and collaboration skills.

  •     9. Ability to work in a fast-paced environment and meet deadlines.

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