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Apprentice

Baxter -
Bengaluru, Karnataka

Apply Now

Job details

Fresher
4 hours ago

Qualifications

TensorFlow
Computer science
Signal processing
Data structures
C++
C
Bachelor's degree
Machine learning
Embedded software
AI
Python

Full job description

Req # 204153 Location Bengaluru, Karnataka, India Job Category Administrative Date posted 06/17/2026

This is where your work makes a difference.

At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job—you will find purpose and pride.

Job Description: AI/ML Apprentice (Embedded Systems) – Infusion Systems Group

Role Summary

We are seeking a highly motivated AI/ML Apprentice (Fresher) to join our Infusion Systems R&D team, working at the intersection of embedded systems, sensor data processing, and machine learning.

The role will focus on building intelligent features for infusion platforms, including real-time anomaly detection, flow rate analysis, and safety signal processing, contributing to next-generation infusion safety solutions.

Key Responsibilities

Embedded + AI Integration

Assist in developing AI/ML-based algorithms for infusion safety (e.g., anomaly detection, flow deviation, occlusion detection)
Support integration of ML models into embedded firmware / edge devices
Work with real-time sensor data (pressure, ultrasonic, flow sensors) for pattern recognition and inference

Data Processing & Feature Engineering

Analyze high-frequency device data (infusion logs, alarms, sensor signals)
Perform preprocessing, filtering, and feature extraction for ML pipelines
Assist in developing signal-processing pipelines for real-time inference

Model Development & Validation

Build and evaluate basic ML models (classification/regression/clustering)
Support model tuning, validation, and performance analysis
Collaborate in testing model behavior across normal and fault conditions (under/over infusion, occlusions, misloads)

System & Platform Exposure

Work on embedded platforms involving: Microcontrollers / RTOS basics Data acquisition from sensors Edge-to-cloud data pipelines
Contribute to prototype implementations and PoC development

Quality & Compliance Awareness

Follow software development practices aligned with medical device standards
Support documentation, traceability, and test artifacts generation

Learning Outcomes (Apprenticeship Goals)

Exposure to AI/ML in regulated medical devices (SaMD concepts)
Hands-on experience with embedded + AI co-design
Understanding of real-time safety-critical systems
Exposure to end-to-end product lifecycle (design validation deployment)

Required Qualifications

Bachelor’s degree (or final year) in: Computer Science / Electronics / Electrical / Biomedical Engineering
Academic exposure to: Machine Learning / AI fundamentals Embedded systems or microcontrollers

Technical Skills (Preferred)

Programming: Python, C/C++
Basic understanding of: Data structures and algorithms Signal processing fundamentals Embedded systems concepts (RTOS, drivers – basic level)
Exposure to: ML libraries (Scikit-learn, TensorFlow/PyTorch) Data handling and visualization tools

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

Recruitment Fraud Notice

Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

Apply Now

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