IBM Hiring Engineer | AI Engineer, Roles, Eligibility Criteria & Everything!
IBM Hiring Engineer : IBM, or International Business Machines Corporation, is a global technology and consulting firm based in Armonk, New York. Founded in 1911 as the Computing-Tabulating-Recording Company, it adopted the name IBM in 1924. With over a century of history, IBM leads in innovation across technology solutions, enterprise services, and research initiatives. Its commitment to excellence and transformative technologies shapes industries and enhances lives worldwide.
IBM Hiring Engineer Job Overview:
| Key Job Details | Description |
|---|---|
| Role | AI Engineer |
| Location | Bangalore, IN |
| Category | Software Engineering |
| Employment Type | Full-Time |
| Travel Required | No Travel |
| Contract Type | Regular |
| Company | (0063) IBM India Private Limited |
| Req ID | 735525BR |
Location: Flexible
Company: IBM
IBM Hiring Engineer Your Role and Responsibilities:
What you will do:
- Develop and implement AI/ML models in production settings, focusing on scalability, reliability, and efficiency.
- Optimize and execute machine learning algorithms, neural networks, and statistical modeling techniques.
- Deploy large language models (LLMs) with expertise in distributed systems, microservice architectures, and REST APIs.
- Collaborate with diverse teams to integrate MLOps pipelines with CI/CD tools for efficient deployment.
- Keep abreast of advancements in AI/ML technologies, contributing to relevant frameworks and libraries.
- Articulate technical concepts to non-technical stakeholders effectively.
- Ensure adherence to industry best practices, maintaining code quality, performance, and security.
- Utilize container orchestration platforms like Kubernetes for deploying and managing ML models.
IBM Hiring Engineer Required Technical and Professional Expertise:
Programming Proficiency:
- Proficiency in Python and C++.
- Experience with ML libraries, such as TensorFlow and PyTorch, for production-level implementations.
Data Handling Skills:
- Strong expertise in data integration, cleansing, and transformation.
- Familiarity with databases like MongoDB, CouchDB, and CockroachDB.
DevOps Experience:
- Skilled in Git, CI/CD pipelines (e.g., Jenkins, GitLab CI), and containerization tools (Docker, Kubernetes).
Open-Source Contribution:
- Contribution to or use of open-source AI projects is a plus.
Problem-Solving Skills:
- Strong analytical skills with a history of optimizing AI algorithms for enhanced performance and scalability.
AI Compiler/Runtime:
- Experience with AI compilers/runtimes is an asset.
Agile Development:
- Familiarity with Agile methodologies and iterative project delivery practices.
IBM Hiring Engineer Preferred Technical and Professional Expertise:
- Proficiency in distributed systems, microservice architecture, and REST APIs.
- Proven experience integrating AI/ML models into production workflows using MLOps and CI/CD tools.
- Exceptional communication and interpersonal skills, adept at simplifying technical concepts for varied audiences.
- Demonstrated commitment to maintaining high standards in AI project performance, security, and compliance.
- Practical experience deploying ML models via Kubernetes.
IBM Hiring Engineer Application Link : Apply Now!
