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AI Engineer

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IBM

13d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Bangalore

AI generated summary

  • You need proficiency in Python, C++, ML libraries (TensorFlow, PyTorch), data integration, databases (MongoDB, etc.), DevOps, Git, CI/CD, and Agile. Open-source contribution is a plus.
  • You will develop and deploy AI models, optimize algorithms, integrate MLOps with CI/CD, communicate with teams, maintain code quality, and manage models using Kubernetes in production.

Requirements

  • * Proficiency in Python, C++.
  • * Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products.
  • * Skilled in integrating, cleansing, and shaping data.
  • * Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB.
  • * Experienced in DevOps practices.
  • * Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes).
  • * Open-source Contribution is a plus.
  • * Experience in contributing to open-source AI projects or utilizing open-source AI frameworks.
  • * Strong problem-solving and analytical skills.
  • * Experience in optimizing AI algorithms for performance and scalability.
  • * AI compiler/runtime skills would be a plus.
  • * Familiarity with Agile methodologies.
  • * Experience in Agile development of AI-based solutions.
  • * Ensuring efficient project delivery through iterative development processes.

Responsibilities

  • Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency.
  • Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems.
  • Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs.
  • Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment.
  • Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries.
  • Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills.
  • Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security.
  • Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments.

FAQs

What is the primary responsibility of an AI Engineer at IBM?

The primary responsibility of an AI Engineer at IBM is to utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency.

What programming languages should I be proficient in for this role?

You should be proficient in Python and C++ for this role.

Are there specific machine learning libraries I should be experienced with?

Yes, experience with ML libraries such as TensorFlow and PyTorch for developing production-grade quality products is required.

Is experience in DevOps practices necessary for this position?

Yes, experience in DevOps practices, including skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes) is necessary.

What kind of collaboration can I expect in this role?

You can expect to collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.

Is open-source contribution valued in this position?

Yes, open-source contribution is valued, and experience in contributing to open-source AI projects or utilizing open-source AI frameworks is considered a plus.

What kind of skills are crucial for problem-solving in this role?

Strong problem-solving and analytical skills are crucial, especially experience in optimizing AI algorithms for performance and scalability.

Can you describe the work environment at IBM?

The work environment at IBM emphasizes innovation, collaboration, and personal growth, encouraging employees to learn, develop, and experiment in a supportive atmosphere.

Is there an emphasis on staying updated with AI/ML advancements?

Yes, staying updated with the latest advancements in AI/ML technologies and contributing to the development and improvement of AI frameworks and libraries is expected.

Does IBM support a diverse and inclusive workplace?

Yes, IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer, ensuring consideration for all qualified applicants regardless of various characteristics.

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IBM

Technology
Industry
10,001+
Employees
1911
Founded Year

Mission & Purpose

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything