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IBM

AI Engineer

IBM
Early Applicant
  • 14 days ago
  • Be among the first 50 applicants
Exp: 0-2 Years
Bengaluru / Bangalore, India

IT/Computers - Hardware & Networking

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Job Description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems If so, lets talk.

Your Role and Responsibilities
What you will do (Roles & 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.


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


Preferred Technical and Professional Expertise
  • Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively.
  • Proficiency in distributed systems, microservice architecture, and REST APIs.
  • Experience in collaborating 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.
  • Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies.
  • Proven ability to contribute to the development and improvement of AI frameworks and libraries.
  • Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
  • Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
  • Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
  • Maintained high standards of code quality, performance, and security in AI projects.
  • Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.



More Info

Industry:IT/Computers - Hardware & Networking

Function:Technology

Job Type:Permanent Job

Skills Required

Travis CI
Python
Agile
Tensorflow
C++
Pytorch
Kubernetes
Docker
Jenkins
Git
Couchdb
MongoDB

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Date Posted: 16/11/2024

Job ID: 100464133

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About Company

IBM
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About Business Unit About IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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