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Machine Learning Engineer III

Machine Learning Engineer III

Ericsson-Worldwide

0 - 6 years

0 Lacs

bengaluru karnataka

Posted:2 days ago| Platform: Indeed logo

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Skills Required

learning networking security portfolio networks wan model data integration monitoring ai ml design storage retrieval strategies indexing keras tensorflow spark containerization orchestration docker kubernetes helm workflow airflow programming python scala java api development aws sagemaker dynamodb deployment rasa django datadog mathematics statistics

Work Mode

On-site

Job Description

Bangalore,Karnataka,India

Job ID

771697

Join our Team

About this opportunity:

Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions.

What you will do:

Define and implement model validation processes and business success criteria in data science terms.
Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs.
Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models.
Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.).
Develop and maintain APIs for AI/ML models and optimize data pipelines.
Lead end-to-end ML projects from conception to deployment.

The skills you bring:

4–6 years of hands-on experience in machine learning, AI, and data science.
Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.).
Experience with containerization & orchestration (Docker, Kubernetes, Helm charts).
Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo).
Strong programming skills in Python and experience with C++, Scala, Java, R.
Experience in API design & development for AI/ML models.
Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift).
Strong understanding of self-hosted deployment of LLMs on AWS.
Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent.
Expertise in monitoring tools like Datadog for K8S environments.

Educational Qualifications

B.Tech/B.E. in Computer Science, MCA, or a Master’s in Mathematics/Statistics from a top-tier institute.

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Machine Learning Engineer III