Anekal Bengaluru Karnataka Data engineer Jobs – 163 Open Jobs Today

ML Ops and Data Engineer
PinnacleU —HSR Layout, Bengaluru, Karnataka
- ₹34,50,000 - ₹35,00,000 a year
- Full-time
- DevOps
- Master's degree
- APIs
Quick apply
Power BI Engineer
Sécheron Hasler Group —Bommasandra, Bengaluru, Karnataka
- Oracle
- Computer Science
- English
Quick apply
TEAL-Lead-Analytics & Insights
Titan Company —Hosur, Tamil Nadu
- Engineering
- SQL
- Project management
Sr Advanced Data Engineer
Honeywell —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
AI data engineer trainee
Crossroad Elf DSS pvt.ltd —HSR Layout, Bengaluru, Karnataka
- ₹1,50,000 - ₹3,00,000 a year
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Quick apply
Clinical AI Data Specialist
PinnacleU —HSR Layout, Bengaluru, Karnataka
- ₹20,00,000 - ₹38,00,000 a year
- Full-time
- SQL
- AI
- Communication skills
Quick apply
Technical Product Manager
Drongo AI Private Limited —Doddakallasandra, Bengaluru, Karnataka
- From ₹14,00,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Product management
- Work from home
Quick apply
3d
IT Support Engineer
Switchgear and Control Technics Private Limited —Bommasandra, Bengaluru, Karnataka
- Full-time
- Microsoft Outlook
- Computer Science
- Software troubleshooting
Quick apply
Data Engineer (ETL)
Luxoft —Bengaluru, Karnataka
- English
- SQL
- AWS
Data Engineer - Splunk and Azure
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Analysis skills
Quick apply
3d
Data Engineer
Terex Corporation —Bengaluru, Karnataka
- Full-time
- Oracle
- ERP systems
- English
MES Application Engineer
Bosch Group —Bengaluru, Karnataka
- Full-time
- Oracle
- Engineering
- English
Quick apply
13d
Sr.Data Engineering
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Data and AI/ML Design engineer at NE-VM
Bosch Group —Bengaluru, Karnataka
- Full-time
- Java
- SQL
- Bachelor's degree
Quick apply
Data Engineering and Cloud
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Research Engineer
PinnacleU —HSR Layout, Bengaluru, Karnataka
- ₹32,00,000 - ₹55,00,000 a year
- Full-time
- Master's degree
- AI
- Python
Quick apply
Junior-Regular Automation QA Engineer
Luxoft —Bengaluru, Karnataka
- Azure
- English
- Java
MLOps & Data Engineer
Triomics —H .S .R Layout B .D .A Complex, Karnataka
- Full-time
- DevOps
- Master's degree
- EMR systems
- Health insurance
- Flexible schedule
Quick apply
Software Engr I
Honeywell —Bengaluru, Karnataka
- Full-time
- Computer science
- Azure
- Computer Science
Senior Data Engineer
Luxoft —Bengaluru, Karnataka
- English
- Java
- AWS
10d

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ML Ops and Data Engineer

PinnacleU
HSR Layout, Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹34,50,000 - ₹35,00,000 a year

Qualifications

CI/CD
Cloud infrastructure
Law
EHR systems
Kubernetes
DevOps
Git
Master's degree
Docker
Terraform
Continuous integration
APIs
Python

Full job description

Position: ML

Location: Bangalore

Working Days: Monday to Friday

Experience Required: 3-6+ years

GROWTH PATH

This is an individual contributor role with strong ownership expectations. High performers may be considered for workstream lead or functional lead responsibilities after approximately 12 months, based on demonstrated ownership, delivery, technical judgment, mentoring, cross-functional influence, and ability to reduce dependency on the Director of ML.

ABOUT THE ROLE

We are looking for an MLOps & Data Engineer to build the infrastructure that allows our ML team to process clinical documents, run experiments, deploy models, monitor systems, and support annotation/evaluation workflows.

You will work closely with Research Engineers, ML Evaluation Engineers, Clinical AI Data Specialists, Engineering DevOps, and backend teams. This role requires both ML infrastructure and practical data engineering skills.

WHAT YOU WILL DO

Build and maintain data pipelines for clinical document processing, OCR outputs, text extraction, metadata normalization, and dataset preparation.
Support deployment cycles for ML/LLM systems in collaboration with Engineering DevOps.
Build and maintain training, inference, and evaluation infrastructure.
Improve experiment tracking, model versioning, dataset versioning, CI/CD, monitoring, observability, and reproducibility.
Build internal tools and lightweight Streamlit apps for annotation, clinical review, evaluation, QA, data inspection, and project operations.
Automate recurring ML workflows and reduce manual operational burden on Research Engineers.
Work with Research Engineers to productionize reliable prototypes.
Work with ML Evaluation Engineers to support evaluation pipelines, hidden test set runs, regression automation, and production monitoring.
Ensure systems are secure, reproducible, maintainable, and production-friendly.

WHAT WE EXPECT

3–6+ years of experience in data engineering, MLOps, backend engineering for ML systems, ML platform work, or production data workflows.
Strong Python skills and comfort with data processing, APIs, scripts, and internal tools.
Experience with Docker, Git, CI/CD, APIs, cloud infrastructure, and production monitoring.
Experience with data pipelines, workflow orchestration, object storage, databases, and batch/stream processing.
Familiarity with ML workflows such as experiment tracking, model registry, inference deployment, and evaluation pipelines.
Ability to build practical internal tools quickly, including Streamlit or similar lightweight apps.
Strong engineering discipline: logging, tests, reproducibility, documentation, reliability, and security-aware data handling.

NICE TO HAVE

Experience with LLM serving, vLLM, Ray, Triton, Kubernetes, Terraform, Airflow, Prefect, MLflow, Weights & Biases, FastAPI, Streamlit, or similar tools.
Experience with OCR/document pipelines, PDFs, TIFF/JPEG processing, EHR data, or healthcare data systems.
Experience working with DevOps/SRE teams and understanding where ML platform ownership should sit versus engineering DevOps ownership.
Familiarity with PHI/PII-aware data handling and secure data workflows.

SUCCESS IN 6 MONTHS

Establishes reliable ML deployment and data-processing workflows.
Reduces RE time spent on infra, manual data preparation, and ad hoc tooling.
Builds useful internal tools for annotation, evaluation, review, and data inspection.
Improves reproducibility of experiments and releases.
Works effectively with Engineering DevOps without requiring the engineering team to own all ML-specific infra.

Quick apply

Refine Your Search

data engineer jobs in anekal bengaluru karnataka

ML Ops and Data Engineer

Power BI Engineer

TEAL-Lead-Analytics & Insights

Sr Advanced Data Engineer

AI data engineer trainee

Clinical AI Data Specialist

Technical Product Manager

IT Support Engineer

Data Engineer (ETL)

Data Engineer - Splunk and Azure

Data Engineer

MES Application Engineer

Sr.Data Engineering

Data and AI/ML Design engineer at NE-VM

Data Engineering and Cloud

Senior Research Engineer

Junior-Regular Automation QA Engineer

MLOps & Data Engineer

Software Engr I

Senior Data Engineer

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GROWTH PATH

ABOUT THE ROLE

WHAT YOU WILL DO

WHAT WE EXPECT

NICE TO HAVE

SUCCESS IN 6 MONTHS

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