Bellandur Bengaluru Karnataka Machine learning engineer Jobs – 18358 Open Jobs Today

Machine Learning Engineer, Expert
Keysight Technologies, Inc. —Bengaluru, Karnataka
- Part-time
- Remote
- Azure
- Oracle
- Salesforce
Machine Learning Engineer, Dubbing
Sarvam —Bengaluru, Karnataka
- Full-time
- Machine learning
- Python
Quick apply
3d
Machine Learning Engineer, VP
National Westminster Bank PLC —Bengaluru, Karnataka
- From ₹27,090 a year
- Full-time
- AWS
- Machine learning
- Agile
Data Scientist
Tata Consultancy Services —Bengaluru, Karnataka
- Bachelor's degree
Senior Machine Learning Engineer - NLP
Observe.AI —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Presentation skills
- Health insurance
- Food provided
AI Engineer
Rayvector —Bengaluru, Karnataka
- Full-time
- AI
- Health insurance
- Flexible schedule
Test Engineer
Indium Software —Bengaluru, Karnataka
- AI
- Communication skills
7d
Senior Machine Learning Engineer
Siemens —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- English
AI Engineer
Tata Consultancy Services —Bengaluru, Karnataka
- Bachelor's degree
- AI
GenAI Engineer
Altimetrik Corp —Bengaluru, Karnataka
- AI
8d
AI Engineer
Infosys Limited —Bengaluru, Karnataka
- Machine learning
- AI
3d
Software Engineer (Machine learning & Recommendation)
Mercari, Inc. (India) —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- AWS
- Bachelor's degree
Quick apply
Machine Learning Engineer
TAC Security —Bengaluru, Karnataka
- Bachelor's degree
- Machine learning
- Python
Machine Learning Engineer - III (Extraction)
Jumio —Bengaluru, Karnataka
- Email
- Doctoral degree
- Computer Science
- Java
Machine Learning Engineer (MLE) lll
Equinix —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Staff Machine Learning Engineer- I
InMobi —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
7d
Staff Machine Learning Engineer
Uber —Bengaluru, Karnataka
- Full-time
- System design
- Java
- Machine learning
Machine Learning Engineer
Wipro Limited —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Databases
13h
Machine Learning Engineer (MLE) ll
Equinix —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Prompt Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Mentoring
- AI
14d

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Machine Learning Engineer, Expert

Keysight Technologies, Inc. -
Bengaluru, Karnataka

Apply Now

Job details

Part-time | Full-time

Qualifications

TensorFlow
CI/CD
Statistics
Azure
Oracle
Statistics
PyTorch
Salesforce
Data structures
SQL
AWS
Sentiment analytics
Machine learning
Continuous integration
Forecasting
Fraud prevention and detection
Data science
AI
Oracle HCM
Python

Full job description

Overview:

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact.

Responsibilities:

1. Machine Learning Development & Deployment

Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.
Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2. Cross-Functional ML Use Cases

Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.

3. Model Governance and MLOps

Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
Perform feature selection, transformation, and engineering aligned with each domain’s business logic.

5. Communication & Stakeholder Collaboration

Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required:

10+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation.
Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
Experience deploying models into production using ML pipelines and orchestration frameworks.
Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

Preferred:

Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
Background in statistics, forecasting, optimization, or recommendation systems.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Apply Now

Refine Your Search

machine learning engineer jobs in bellandur bengaluru karnataka

Machine Learning Engineer, Expert

Machine Learning Engineer, Dubbing

Machine Learning Engineer, VP

Data Scientist

Senior Machine Learning Engineer - NLP

AI Engineer

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AI Engineer

GenAI Engineer

AI Engineer

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Machine Learning Engineer

Machine Learning Engineer - III (Extraction)

Machine Learning Engineer (MLE) lll

Staff Machine Learning Engineer- I

Staff Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (MLE) ll

Prompt Engineer

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