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Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our continued growth and delivery of high‑quality products, we are seeking an AI Data, Senior Engineer to join our team to be based at Batu Kawan, Penang What a typical day looks like: Good experience in Al algorithms of Classification & Detection, Time-Series & Predictive Models, Anomaly Detection, Reinforcement Learning, Clustering & Recommendation. SQL, Python, Spark, Hadoop, Kafka. Cloud data services (AWS Redshift, Azure Data Factory, GCP BigQuery). Data governance, security, and compliance frameworks. API development and integration with enterprise systems. Strong coding and automation of data workflows The experience we’re looking to add to our team: Bachelor’s in Computer Science, Information Systems, or related field. 4–6 years in data engineering, with ETL pipeline development and backend integration. Experience supporting AI/ML workflows with clean, reliable data. Experience supporting AI/ML workflows with clean, reliable data. Proven track record of deploying ML models in production environments. Strong problem‑solving and analytical mindset. Ability to work independently with minimal supervision, or collaboratively in teams. Strong programming and coding discipline across multiple languages. Excellent communication and presentation skills to technical and non‑technical audiences. Teamwork, adaptability, and proactive engagement. Professional documentation and reporting skills. What you’ll receive for the great work you provide: Medical benefits, dental, vision Life Insurance Paid Time Off Performance Bonus AL21 AA077 Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.