Ml engineer signal processing / Jobs

SR. DEVOPS ENGINEER and MLOps Engineer
TE Connectivity —Bengaluru, Karnataka
- Computer Science
- DevOps
- Master's degree
Automotive Audio Systems Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
9d
Senior Staff Applications Engineer
Infineon Technologies AG —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Engineer- ML Model Development,Pytorch,Numphy
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- B.Sc
Data Scientist
ALSTOM —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
Senior Software Engineer, AI/ML, Google Photos Reminiscing
Google —Bengaluru, Karnataka
- Full-time
- System design
- Bachelor's degree
- Machine learning
9d
Principal Engineer - Applications- AI/ML
Microchip Technology —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
AI/MLEngineer
The Digital Group —Pune, Maharashtra
- Azure
- Research
- Databases
Staff Backend Engineer
Coupang —Bengaluru, Karnataka
- Hybrid work
- System design
- Java
- Master's degree
- Work from home
Quick apply
Staff Engineer, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Travel
- Mentoring
- Scripting
Staff ML Engineer
Buildkite —Panznor, Jammu and Kashmir
- SQL
- AWS
- Machine learning
Edge AI Systems Engineer
SatSure Analytics India —Bengaluru, Karnataka
- Computer Science
- C++
- Machine learning
- Health insurance
- Paid time off
Data Engineer
Ratna Global Technologies Private Limited —Hyderabad, Telangana
- Azure
- System design
- SQL
Quick apply
Sr Engineer: Audio Systems Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
Timing closure expert
Texas Instruments —Bengaluru, Karnataka
- Bachelor's degree
- AI
Staff Engineer
Locus.sh —Bengaluru, Karnataka
- ₹5,000 a year
- Full-time
- Java
- Master's degree
- Databases
PCB Layout Engineer
Eurth Techtronics —Hyderabad, Telangana
- Email
- Schematics
- Master's degree
- Assembly
Principal Engineer, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Master's degree
- C++
- Bachelor's degree
Software Development Engineer
BioGenex Life Sciences Pvt Ltd —Adibatla, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
- Commuter assistance
- Health insurance
Quick apply
13d
Lead Software Engineer– Python Data Engineering
Quest Global —Pune, Maharashtra
- Full-time
- Oracle
- Databases
- SQL
Quick apply

I want to receive the latest job alerts for ml engineer signal processing /

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer signal processing / jobs near

System Engineer jobs in Bengaluru, Karnataka

Design Verification Engineer jobs in Bengaluru, Karnataka

Senior Devops Engineer jobs in Bengaluru, Karnataka

Data Engineer jobs in Hyderabad, Telangana

Staff Engineer jobs in Bengaluru, Karnataka

Audio Engineer jobs in Hyderabad, Telangana

Senior Ai Ml Engineer jobs in Bengaluru, Karnataka

Back End Developer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Chennai, Tamil Nadu

Software Engineer jobs in Hyderabad, Telangana

Data Scientist jobs in Bengaluru, Karnataka

Modeling Engineer jobs in Kolkata, West Bengal

Engineer jobs in Lucknow, Uttar Pradesh

Fire Fighting Design Engineer jobs in Mumbai, Maharashtra

Modeling Engineer jobs in Electronic City, Bengaluru, Karnataka

Modeling Engineer jobs in Gurugram, Haryana

Fresher Electronics Engineer jobs in Pune, Maharashtra

Assistant Professor, Mechanical Engineer jobs in Chandigarh, Chandigarh

Senior Application Engineer jobs in Ahmedabad, Gujarat

Senior Application Engineer jobs in Mumbai, Maharashtra

SR. DEVOPS ENGINEER and MLOps Engineer

TE Connectivity -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

BCS
CI/CD
Law
Computer Science
Software deployment
DevOps
Supply chain
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Continuous integration
Data science
Manufacturing
AI
Python
Data Science

Full job description

TE Connectivity is seeking a hands-on Machine Learning Engineer with 3–5 years of experience to help design, productionalize, scale, and optimize AI/ML solutions across the enterprise. This role will sit at the intersection of data engineering, data science, and ML engineering, and will focus on taking models from experimentation to reliable business use in production.

The ideal candidate has strong experience with Databricks, AWS, MLflow, Python, PySpark, SQL, and modern MLOps practices. This person should be comfortable refactoring machine learning code and models, building robust production pipelines, setting up monitoring and alerts, improving model efficiency and reliability, and supporting both traditional ML models and Generative AI applications such as chatbots and agents.

Responsibilities:

Design, build, and maintain end-to-end machine learning pipelines for training, validation, deployment, monitoring, and retraining.
Productionalize AI/ML models and ensure they are scalable, reliable, secure, and supportable in enterprise environments.
Refactor existing machine learning models and codebases to improve performance, maintainability, reusability, and deployment readiness.
Develop and manage model orchestration workflows across experimentation, batch scoring, real-time inference, and retraining cycles.
Implement MLflow-based experiment tracking, model versioning, model registry, and lifecycle management.
Build and optimize data pipelines using PySpark, SQL, and Databricks to support feature engineering, training, and inference workloads.
Create monitoring frameworks for model health, drift, accuracy, latency, failures, and cost, and configure automated alerts for anomalies and performance degradation.
Improve model efficiency through better feature pipelines, compute optimization, inference tuning, and workflow redesign.
Deploy and support Generative AI solutions, including chatbots, assistants, and agent-based workflows.
Collaborate with data scientists, data engineers, application developers, and business stakeholders to move AI solutions from prototype to production.
Contribute to MLOps and engineering best practices including observability, CI/CD, governance, testing, and documentation.
Support cloud-native AI/ML solutions in AWS and help ensure alignment with security, compliance, and enterprise architecture standards.

Resposibilities:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
7–10 years of hands-on experience in machine learning engineering, MLOps, data engineering, or a closely related role.
Strong programming skills in Python.
Strong experience with PySpark and SQL for large-scale data processing and transformation.
Experience with Databricks for ML and data engineering workflows.
Experience with AWS services supporting ML, data, and deployment workflows.
Experience with MLflow for experiment tracking, model management, and lifecycle governance.
Experience deploying machine learning models into production environments.
Experience building monitoring, alerting, and observability processes for production models and pipelines.
Understanding of model orchestration, model retraining workflows, and ML lifecycle management.
Experience working across both data engineering and data science use cases.
Strong understanding of software engineering fundamentals, including testing, version control, modular design, and code refactoring.

Preferred Qualifications

Experience with Generative AI, LLM-based applications, chatbots, RAG, or agentic workflows.
Experience with real-time or near-real-time inference pipelines.
Experience with CI/CD, DevOps, or Infrastructure-as-Code in support of ML platforms.
Experience with feature stores, model governance, and ML observability tooling.
Experience in manufacturing, industrial, supply chain, or enterprise business environments.
Familiarity with security, auditability, and governance requirements for enterprise AI solutions.

Key Skills

Databricks
AWS
MLflow
Python
PySpark
SQL
Data Engineering
Data Science
Machine Learning Engineering
MLOps
Model Deployment
Model Monitoring
Alerting / Observability
Model Refactoring
Model Orchestration
Generative AI
Chatbots
AI Agents
Performance Optimization

What Success Looks Like

Existing ML models are refactored into cleaner, more scalable production solutions.
AI/ML pipelines are automated, monitored, and resilient.
Model alerts proactively identify drift, cost anomalies, and performance degradation.
Generative AI use cases such as chatbots and agents are deployed with strong engineering discipline.
Model efficiency, maintainability, and time-to-production improve across TE’s AI/ML portfolio.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

Competitive Salary Package
Performance-Based Bonus Plans
Health and Wellness Incentives
Employee Stock Purchase Program
Community Outreach Programs / Charity Events
Employee Resource Group

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India

Posting City: Bangalore

Job Country: India

Travel Required: None

Requisition ID: 150230

Workplace Type: Hybrid

External Careers Page: Information Technology

Apply Now

Refine Your Search

SR. DEVOPS ENGINEER and MLOps Engineer

Automotive Audio Systems Engineer

Senior Staff Applications Engineer

Engineer- ML Model Development,Pytorch,Numphy

Data Scientist

Senior Software Engineer, AI/ML, Google Photos Reminiscing

Principal Engineer - Applications- AI/ML

AI/MLEngineer

Staff Backend Engineer

Staff Engineer, Design Verification Engineering

Staff ML Engineer

Edge AI Systems Engineer

Data Engineer

Sr Engineer: Audio Systems Engineer

Timing closure expert

Staff Engineer

PCB Layout Engineer

Principal Engineer, Design Verification Engineering

Software Development Engineer

Lead Software Engineer– Python Data Engineering

I want to receive the latest job alerts for ml engineer signal processing /

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected