Engineer sr engineer lead wireless development Jobs

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Machine Learning Engineer
Ericsson —Bengaluru, Karnataka
We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights.
Senior Engineer, Design Evaluation Engineer
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1324b(a)(3) – may have to go through an export licensing review process. The Senior Design Evaluation Engineer is a senior technical position working on complex…

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Machine Learning Engineer

Ericsson -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

TensorFlow
CI/CD
Authentication
Doctoral degree
Computer Science
Cassandra
Kubernetes
PyTorch
Big data
Spark
Git
MongoDB
Java
Master's degree
Firewall
AWS
C++
C
Bachelor's degree
SSL
Machine learning
Scala
Continuous integration
APIs
Kafka
Data science
AI
Python
Data Science

Full job description

Grow with us

About this Opportunity:

The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights.

What you will do:

As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems.

Key Responsibilities:

Lead analysis of ML-driven business needs and opportunities for Ericsson and strategic customers.
Define model validation strategy and establish success criteria in data science terms.
Architect and design data flow and machine learning model implementation for production deployment.
Drive rapid development of minimum viable solutions and leverage existing and new data sources.
Develop solutions using Generative AI and RAG approaches.
Design near real-time streaming and batch applications, ensuring scalability and high availability.
Conduct performance analysis, tuning, and apply best practices in architecture and design.
Document solutions and support reviews; contribute to product roadmap and backlog governance.
Manage system packaging, software versioning, and change management.
Perform design and code reviews, focusing on security and functional requirements.
Collaborate with product teams to integrate ML models into Ericsson offerings
Advocate for new technologies within ML communities and mentor junior team members
Build ML competency within Ericsson and contribute to cross-functional initiatives.

Qualifications:

Degree in Computer Science, Data Science, AI, Machine Learning, Electrical Engineering, or related fields from a reputable institution (Bachelor's, Master's, or Ph.D.).
5+ years of overall industry experience with 3+ years of experience in AI/ML domain

Technical Skills:

Proficient in Python with strong programming skills in C++/Scala/Java.
Demonstrated expertise in implementing diverse machine learning techniques.
Skilled in using ML frameworks such as PyTorch, TensorFlow, and Spark ML.
Experience designing cloud solutions on platforms like AWS, utilizing services like SageMaker, EKS, Bedrock, and Generative AI models.
Expertise in containerization and Kubernetes in cloud environments.
Familiarity with Generative AI models, RAG pipelines, and vector embeddings
Competent in big data storage and retrieval strategies, including indexing and partitioning.
Experience with big data technologies like Spark, Kafka, MongoDB, and Cassandra.
Skilled in API design and development for AI/ML models
Proven experience writing production-grade software

. Competence in Codebase repository management like Git and any CI/CD pipelines.

Extensive experience in model development and life-cycle-management in one or more industry/application domain
Understanding and application of Security: Authentication and Authorization methods, SSL/TLS, Network Security (Firewall, NSG rules, Virtual Network, Subnet, Private Endpoint etc), Data Privacy handling and protection.

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

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Bangalore

Req ID: 783350

Apply Now

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