IntelAI/ML Technologist
AI in this role
AI/ML technologist to lead the transformation of client platform technologies using advanced AI tools and agentic architectures.
Job Description:
The Role and Impact
We are seeking an experienced AI/ML Technologist to lead the transformation of client platform technologies, debug, and power/performance domains using advanced AI tools and machine learning techniques.
This role will drive innovation by leveraging cutting-edge Agentic AI architectures to enhance efficiency, scalability, and intelligence across client product development, debugging, and power-performance optimization workflows.
Key Responsibilities
- Define and implement scalable AI/ML architectures to modernize platform technologies, debug, and power/performance workflows.
- Design and develop intelligent, autonomous agents capable of self-orchestrating debugging, analysis, and optimization tasks, enabling continuous learning and decision-making.
- Power and Performance Analytics: Develop advanced analytics frameworks to monitor, predict, and optimize power efficiency and system performance metrics for client products.
- Data-Driven Insights: Leverage ML models and telemetry data to deliver actionable insights for system-level optimization, anomaly detection, and performance bottleneck analysis.
- Cross-Functional Collaboration: Partner with hardware, software, and platform engineering teams to integrate AI-driven solutions into existing ecosystems.
Qualifications:
Key Skills and Expertise:
- Strong background in Machine Learning, Deep Learning, and AI system design
- Experience with Agentic AI / autonomous systems / multi-agent frameworks
- Knowledge of platform technologies, system debug, and power/performance optimization workflows
- Proficiency in data analytics, performance modeling, and optimization techniques
- Experience with cloud platforms, distributed systems, and scalable pipelines
- Familiarity with MLOps and production deployment of AI systems
- Exposure to reinforcement learning, decision systems, or adaptive agents
- Proficiency in Python (primary for AI/ML, data pipelines)
- Strong knowledge of C/C++ (for system-level, performance-critical components)
- Familiarity with Power Shell scripting (automation)
Preferred Qualifications and Experience
- Minimum Experience - 7+ Years of experience with Bachelor's or 8+ years with Master's degree in Computer Science, Electronics, or related fields
- Familiarity with MLOps and production AI deployment
- Understanding of memory, CPU, GPU, and system architecture
- Debugging at system/software/hardware interaction level
Job Type:
Experienced HireShift:
Shift 1 (India)Primary Location:
India, BangaloreAdditional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/AWork Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.How we rate this
AI/ML Technologist at Intel rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, Machine learning, Deep learning, and Agentic AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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