ML Engineer

Location: Bangalore

Type: Full-time

We are seeking a highly skilled AI/ML Engineer with a strong background in data science, machine learning, and advanced analytics to join our manufacturing innovation team. The ideal candidate will design, build, and deploy AI/ML solutions that enable predictive maintenance, process optimization, quality control, and supply chain efficiency. This role requires hands-on expertise in machine learning engineering, deep learning frameworks, and cloud deployment, along with a solid understanding of manufacturing systems and Industry 4.0 initiatives.

Collect, clean, and analyze large datasets from production systems (MES, ERP, SCADA, IoT sensors).

Design, develop, and deploy machine learning and deep learning models for predictive maintenance, defect detection, demand forecasting, and production optimization.

Build scalable end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and deployment.

Work with time-series, sensor, image, and quality inspection data to solve manufacturing challenges.

Collaborate with manufacturing, engineering, and operations teams to integrate AI/ML models into real-time production environments.

Implement MLOps practices for model deployment, monitoring, and retraining in production.

Develop computer vision solutions for defect detection, quality inspection, and automation.

Apply advanced optimization and reinforcement learning techniques to improve production scheduling and supply chain processes.

Ensure scalability, security, and performance of AI/ML systems deployed on cloud or edge environments.

Stay up to date with the latest trends in AI, ML, and Industry 4.0 technologies and recommend adoption strategies.

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.

4–6 years of experience as an AI/ML Engineer, Data Scientist, or Machine Learning Engineer, preferably in the manufacturing or industrial domain.

Strong proficiency in Python, and a preferred library like PyTorch, or TensorFlow.

Solid experience with data pipelines and ETL frameworks.

Strong understanding of statistical modeling, deep learning (CNNs, RNNs, Transformers), and classical ML methods.

Hands-on experience with time-series forecasting, anomaly detection, and computer vision.

Familiarity with manufacturing systems (ERP, MES, SCADA, IoT) and their data sources.

Proficiency in SQL and NoSQL databases.

Excellent communication skills with the ability to explain complex AI/ML solutions to both technical and non-technical stakeholders.

Exposure to machine learning frameworks (TensorFlow, PyTorch).

Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).

Knowledge of Lean Manufacturing, Six Sigma, and Industry 4.0 digital transformation initiatives.

Experience in time-series data analysis, anomaly detection, or predictive maintenance models.

Familiarity with MLOps practices for model deployment and monitoring.

A chance to work on cutting-edge analytics and AI/ML applications in manufacturing.

Involvement in Industry 5.0 initiatives and digital transformation projects.

Opportunities for professional growth, and training.

Collaborative and innovative work culture.

ARTPARK @ IISc : Innovation factory for next-gen robotics & AI

ARTPARK is India's leading deep-tech venture builder and incubator focused on robotics, connected autonomous systems, and AI. Leveraging our unique facilities and ecosystems, we strive to provide meaningful support to very early-stage startups building deep-tech products based in research. We are a nonprofit organization created by Indian Institute of Science (IISc, Bengaluru) with support from the Department of Science & Technology (Government of India) and the Government of Karnataka.