AI/ML Engineer
Texas Instruments7 hours ago
Kuala Lumpur, MalaysiaMid Level
Responsibilities
- Collaborate with manufacturing, data science, product, process engineering, and domain teams to identify AI opportunities.
- Analyze and preprocess datasets from manufacturing equipment, sensors, logs, and MES systems.
- Lead AI proof-of-concepts and pilot programs for semiconductor back-end manufacturing.
- Build, train, validate, and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance.
- Build data ingestion and transformation infrastructure and integrate large-scale data solutions.
- Set up and manage AI development and production infrastructure, including edge and cloud deployments.
- Create APIs and help business customers integrate model outputs into operations.
- Monitor AI system performance, implement enhancements, and support production adoption.
- Provide technical documentation, training, and support to production teams.
- Identify transfer-learning opportunities and new training datasets.
- Help product managers and stakeholders understand AI capabilities, limitations, and results.
- Stay current with AI/ML research and prototype improvements for manufacturing systems.
Requirements
- Bachelor’s degree in computer science, data science, engineering, artificial intelligence, machine learning, or a related discipline.
- Strong programming skills in Python, R, or equivalent languages.
- Proficiency with TensorFlow, PyTorch, or scikit-learn.
- Experience in data analytics, computer vision, or generative AI.
- Experience deploying machine learning models in production, including on edge devices or cloud-based systems.
- Strong analytical, problem-solving, verbal communication, and written communication skills.
- Knowledge of advanced computer vision techniques such as image classification, segmentation, and object detection.
- Experience with AI model explainability, trustworthiness, and validation in industrial contexts.
- Experience with PostgreSQL, Oracle, MySQL, and real-time data handling.
- Hands-on experience designing and developing REST APIs.
- Knowledge of semiconductor back-end manufacturing, including assembly, packaging, and testing.
- Experience with semiconductor manufacturing data, including sensor, equipment-log, and MES data.
- Experience with Kubernetes, Jenkins, GitLab CI, Linux server environments, and containerized deployments.
- Familiarity with Kafka, Spark, Apache NiFi, Dataiku, Cassandra, MongoDB, HDFS, JIRA, Git, Bitbucket, and Confluence.
- Knowledge of algorithms and data structures.
- Publications, patents, or conference presentations in AI/ML applications for manufacturing are advantageous.
- Knowledge of semiconductor manufacturing processes or equipment, sensors, drivers, and encoders is advantageous.
Benefits
- Competitive pay and benefits with country-specific benefits information provided.
- Career development and ownership opportunities in a collaborative environment.
- Diverse and inclusive workplace.
- Work arrangement and employment duration are not stated.
Tech Stack
Apache CassandraApache KafkaApache SparkGitGitLab CI/CDJenkinsKubernetesLinuxMongoDBMySQLPostgreSQLPythonPyTorchRscikit-learnTensorFlow
Categories
Data EngineeringML Engineering
About Texas Instruments
Texas Instruments designs and manufactures analog and embedded processing semiconductors—including MCUs, power management, signal chain and DLP devices—sold to OEMs in industrial, automotive, personal electronics and communications markets. Founded in 1930 and headquartered in Dallas, it is a public company (NASDAQ: TXN) with worldwide fabrication and assembly operations and a direct online store, supplying long-lifecycle parts used in everything from factory automation to vehicles and consumer devices.