Jobs
Interviews
Upskill
Job Alerts
Tools

Upskill and Grow with AI

Skill Gap and Learning Paths See what your target role asks for and learn it free

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on job portals effortlessly

Interview Questions Streamline interviews with ready-to-use questions

Companies Explore leading companies actively hiring talent

Home
>
Jobs in Bengaluru
>
Ericsson
>
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Ericsson

5 - 8 years

Bengaluru

Posted:4 days ago

Apply

Job Description

Join our Team

About this opportunity:

Ericsson Enterprise Wireless Solutions (BEWS) drives Ericsson’s Enterprise Networking and Security business. Our portfolio covers wide area networks, local area networks, enterprise security, Private 5G networks and Secure Access Service Edge (SASE) solutions.

What Will You Do:

Design, build and maintain end-to-end ML pipelines for data ingestion, model training, evaluation, deployment and monitoring.
Deploy ML models as scalable microservices and APIs with high availability and low latency.
Automate infrastructure provisioning using Terraform, AWS CloudFormation or similar tools.
Build and manage CI/CD pipelines for model deployment, versioning and rollback.
Integrate ML models into cloud-native architectures using AWS services such as SageMaker, EKS, Lambda, S3, ECS and CloudWatch.
Work with DevOps and platform teams to improve consistency, observability and cost efficiency.
Implement monitoring and alerting for model performance, data drift and system health.
Develop reusable microservices, APIs and SDKs for ML model integration.
Maintain strong standards for code quality, testing and documentation.
Stay updated on developments in MLOps, cloud computing and distributed model serving.

What Will You Bring:

5–8 years of experience in ML Engineering, Software Engineering or DevOps, with a focus on machine learning systems.
Strong Python skills and experience with TensorFlow, PyTorch or Scikit-learn.
Strong experience with AWS services including SageMaker, Lambda, ECS/EKS, CloudWatch, S3 and IAM.
Experience deploying ML models into production using FastAPI, Flask, gRPC or similar frameworks.
Hands-on experience with Terraform and Infrastructure as Code.
Experience with Docker and Kubernetes.
Good understanding of CI/CD pipelines, model registries and artifact management.
Knowledge of model monitoring, logging and observability tools such as Prometheus, Grafana or Evidently AI.
Strong software engineering practices including version control, modular design, automated testing and code reviews.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
Experience with AWS CDK, Serverless Framework or Argo Workflows.
Familiarity with API gateways, Kafka, SQS and event-driven systems.
Exposure to A/B testing, canary and shadow deployments for ML models.
Experience in AIOps, telecom or enterprise networking is an advantage.

All academic credentials must be from recognized and accredited institutions and are further subject to verification

Skills Required

Machine Learning Networking Data Ingestion Microservices High Availability Terraform AWS Cloudformation Ci/cd Pipelines Cloud Native AWS Devops Quality Testing

Learn the skills this job asks for

See your skill gap for Machine Learning Engineer →

Free courses, interview questions and practice for each skill.

More Jobs at Ericsson

Network Engineer-Data Center & WAN

Bengaluru

Experience: Not specified

Salary: Not disclosed

Solution Architect

India

Experience: Not specified

Salary: Not disclosed

Experienced Engineer - ASIC Verification

Chennai

5 - 5 yrs

Salary: Not disclosed

Full Stack Developer

India

2 - 6 yrs

Salary: Not disclosed

Problem Manager

India

5 - 10 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Ericsson

Telecommunications

Kista Stockholm

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior Machine Learning Engineer