Game Tester Freshers Walk-in Drive - GlobalStep Pune

Salary

Not Disclosed

Location

Banglore

Highlights

AI/ML development, data engineering, MLOps, predictive analytics, autonomous agents

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Description

Join the global leader in energy industries at ABB as an AI/ML Engineer in our Process Automation team. This role offers a unique opportunity to drive innovation and enhance operational efficiency through advanced machine learning, data engineering, and model deployment solutions. As a design authority for your engineering discipline, you will contribute significantly to predictive analytics, classification, and optimization tasks. You will leverage your expertise in AI/ML development, data pipeline building, and MLOps to deliver impactful results.

Key responsibilities include:

• Designing and implementing supervised, unsupervised, and reinforcement learning models for various engineering domains
• Building scalable data pipelines using Airflow, Kafka, and Databricks to ensure high-quality data ingestion and transformation
• Deploying and monitoring AI/ML models in production environments with Kubernetes and Azure ML; implementing continuous learning loops
• Developing autonomous agents for hybrid AI solutions, integrating LLMs, knowledge graphs, and orchestration frameworks
• Partnering with domain experts to translate complex business challenges into actionable AI-driven solutions

We seek candidates with a bachelor’s degree in Computer Science or related fields, along with 2-5 years of experience in AI/ML engineering. Hands-on proficiency in Python and ML/DL frameworks is essential. Knowledge of SQL databases, API development, and containerization tools like Docker is preferred.

At ABB, you will work on cutting-edge technology while contributing to the success of global projects. We provide a collaborative environment where continuous learning and growth are encouraged. Join us today!

Skills

Python TensorFlow Kubernetes Data-Engineering MLOps