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2174 IBM Jobs
AI Engineer
3-5 years
₹ 15.2 - 42.5L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
AI Engineer
IBM
posted 12hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Your Role and Responsibilities
What you will do (Roles & Responsibilities):
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
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
- Programming Proficiency:
- Proficiency in Python, C++.
- Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products.
- Data Handling Skills:
- Skilled in integrating, cleansing, and shaping data.
- Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB.
- DevOps Experience:
- Experienced in DevOps practices.
- Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes).
- Open-Source Contribution:
- Open-source Contribution is a plus.
- Experience in contributing to open-source AI projects or utilizing open-source AI frameworks.
- Problem-Solving Skills:
- Strong problem-solving and analytical skills.
- Experience in optimizing AI algorithms for performance and scalability.
- AI Compiler/Runtime Skills:
- AI compiler/runtime skills would be a plus.
- 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.
Employment Type: Full Time, Permanent
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People are getting interviews through
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Company Website
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Walkin
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39%
14%
12%
10%
5%
4%
16% candidates got the interview through other sources.
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What people at IBM are saying
Rating based on 2 AI Engineer
reviews
Anonymous · Data Science & Machine Learning
in Bengaluru
Likes
Great work culture and people
Dislikes
NA
Read 2 reviewsAI Engineer salary at IBM
reported by
70
employees
with 1-7
years exp.
₹11
L/yr - ₹44
L/yr
97%
more
than the average AI Engineer Salary in India
View more details
What IBM employees are saying about work life
based on 21.3k employees
Flexible timing
Monday to Friday
No travel
Day Shift
IBM Benefits
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