AIML Software Engineer

We are currently hiring with one of the top Healthcare Tech Industry for AIML Software Engineering role at Noida Location

Looking for candidates from Top Product companies and Product Engineering background

Job Description

As an AI/ML Software Engineer, you will contribute towards the development and execution of the vision for enabling solutions. You will utilize your software engineering skills to ensure technical tasks and properly detailed, designed and executed per existing standards. You are expected to participate in low level design activities and breaking down into smaller technical tasks and mentor juniors in execution.

Responsibilities

• Contribute code towards software development of the AI Studio Enterprise Platform.
• Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
• Use software engineering best practices to ensure a high standard of quality for all of the team’s deliverables.
• Write high quality distributed system software.
• Decompose complex problems into simple, straight-forward solutions
• Should be flexible, adapting to meet the needs of the team, project, or product.
• Solicit differing views and are willing to change your mind as you learn more.

Required Qualifications

• Bachelor's degree in computer science or related field.
• 3+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer.
• 3+ years of experience with demonstrable proficiency in programming languages such as Python or Java.
• 3+ years of experience working across the full software development life cycle exhibiting high quality of work e.g. via coding standards, code reviews, source control management, build process, testing, and operations.
• 1+ years of experience with AI/ML concepts and knowledge of CI/CD and MLOps practices.
• 1+ years of experience with cloud platforms and services (Azure, AWS, GCP, etc.)
• 1+ years of experience with design activities (architecture, design patterns, reliability, and scaling).
• Ability to work collaboratively in a team environment and contribute to a positive work culture.

Preferred Qualifications

• Exposure to DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code.
• Higher-level understanding of AI/ML use-cases and production implementation.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras; or distributed computing frameworks such as Apache Spark.