AI/ML Engineer – Machine Learning Models & Deployment
Bosch Global Software Technologies · Bengaluru
| Company | Bosch Global Software Technologies |
|---|---|
| Role | AI/ML Engineer – Machine Learning Models & Deployment |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
Bosch Global Software Technologies is hiring an AI/ML Engineer in Bengaluru. You will clean and explore data, build and train machine learning and deep learning models and put them into production.
Models are deployed with tools such as TensorFlow Serving, Flask, FastAPI and Docker, and results are shared through Tableau, Power BI or Python charts. You will work with data engineers, analysts and product planners. The role is in the office.
Eligibility
- 1 to 6 years of relevant experience
- B.E. in AI, CS, E&C, EEE or mechatronics
- Python with ML and deep learning frameworks
- Model deployment with Flask, FastAPI, Docker or TF Serving
- AI/ML certifications or NLP, vision or RL experience is a plus
Skills required
What you will do
- Collect, clean and prepare structured and unstructured data
- Explore data to find trends and patterns
- Build, train and validate ML and deep learning models
- Deploy models and keep them fast and scalable
- Build dashboards and present results to stakeholders
How to apply
- Open the official Bosch Global Software Technologies job page with the Apply button and submit your application there.
- Tailor your resume to models you built and deployed, the data behind them and the business result.
Before the interview, prepare:
- ML basics: bias vs variance, cross-validation and metrics
- Serving a model with FastAPI and Docker
- Exploratory data analysis with pandas and plots
- Deep learning: CNN vs transformer and when to use each
Get jobs like this every day on WhatsApp. Free, no spam, only verified openings.
Join channelStay safe: DailyITJobs is not a recruitment agency and is not connected to Bosch Global Software Technologies. Apply only on the official website. Never pay anyone for a job, interview or offer letter.