Machine Learning Engineer

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.

Key Responsibilities

• Define and implement model validation processes and business success criteria in data science terms.
• Contribute to the architecture and data flow for machine learning models.
• Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs.
• Conduct advanced data analysis and rigorous testing to enhance model accuracy and performance.
• Work with Data Architects to leverage existing data models and create new ones as required.
• Collaborate with product teams and business partners to industrialize machine learning models into Ericsson s enterprise solutions.
• 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.
• Stay updated on the latest ML advancements and apply best practices to enterprise AI solutions.

Required Skills Experience

• 4-6 years of hands-on experience in machine learning, AI, and data science.
• Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.).
• Proficiency in ML algorithms, deep learning, reinforcement learning (RL), and large language models (LLMs).
• Expertise in MLOps, including model lifecycle management and monitoring.
• 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.
• Hands-on knowledge of Terraform for infrastructure automation.
• 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.
• Working knowledge of vector databases, knowledge graphs, retrieval-augmented generation (RAG), agents, and agentic mesh architectures.
• Expertise in monitoring tools like Datadog for K8S environments.
• Ability to document, present, and communicate technical findings to business stakeholders.
• Proven ability to contribute to ML forums, patents, and research publications.

Educational Qualifications

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

Join Ericsson and be part of a cutting-edge team that is revolutionizing enterprise AI, 5G, and security solutions. Apply now to shape the future of wireless connectivity!