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AI Engineer
IBM
posted 30min ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives.
- Gather, clean, and prepare large datasets to ensure readiness for AI model training
- Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.
- Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity.
- Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.
- Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments
- Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.
- Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.
- Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.
- Lead and mentor team members to improve performance.
- Collaborate with operations, architects, and product teams to resolve issues and define product designs.
- Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components
- Participate in software design reviews, code reviews and project planning.
- Write and review documentation and technical blog posts.
- Contribute to department attainment of organizational objectives and high customer satisfaction
Required education
Bachelor's Degree
Preferred education
Doctorate Degree
Required technical and professional expertise
- Minimum 6 years of hands-on experience developing AI-based applications using Python.
- 2+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)
- Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.
- Familiarity with Natural Language Processing (NLP) techniques.
- Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.
- Proven expertise in integrating and working with LLMs to build robust AI solutions.
- Skilled in crafting effective prompts to guide LLMs to provide desired outputs.
- Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc.,
- Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.
- Proficient in microservices development using Python (Django/Flask or similar technologies).
- Experience in Agile development methodologies
- Familiarity with platforms like Kubernetes and experience building on top of the native platforms
- Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
- Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)
- Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
Preferred technical and professional experience
- Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs
- Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs.
- Understanding of security and ethical best practices for data and model development
- Contributions to open source projects
Employment Type: Full Time, Permanent
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AI Engineer salary at IBM
reported by
73
employees
with 1-6
years exp.
₹11
L/yr - ₹43
L/yr
93%
more
than the average AI Engineer Salary in India
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What IBM employees are saying about work life
based on 22k employees
Flexible timing
Monday to Friday
No travel
Day Shift
IBM Benefits
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