Senior Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

Ericsson Enterprise Wireless Solutions is looking for a Senior Data Scientist in Bangalore, India, with 8-14 years of experience. The role involves leading the design and deployment of AI/ML models, architecting Agentic AI solutions, and developing LLM-powered applications.

Responsibilities

Lead the design and deployment of machine learning and statistical models that solve complex business challenges.
Architect and build Agentic AI solutions including multi-agent systems, autonomous reasoning loops, tool-using agents, and orchestration frameworks for intelligent network operations.
Design and implement LLM-powered applications using RAG, domain-adapted models, prompt engineering, structured outputs, and evaluation frameworks such as RAGAS and LLM-as-Judge.
Partner with data engineers, product managers, and architects to identify high-value AI opportunities and deliver scalable production solutions.
Perform data exploration, feature engineering, and dataset preparation for ML and LLM-based systems.
Evaluate model performance and ensure robustness, interpretability, fairness, and reliability across traditional ML and transformer-based models.
Develop reusable AI frameworks, tools, and libraries that improve team productivity and solution quality.
Stay current with advancements in AI/ML research, open-source technologies, and industry trends.

Requirements

8–14 years of experience in Data Science and Machine Learning with increasing ownership and technical leadership.
Strong expertise in regression, classification, clustering, ensemble methods, time-series analysis, and anomaly detection.
Hands-on experience building LLM solutions using RAG, prompt engineering, vector databases, context management, and orchestration frameworks.
Experience designing Agentic AI workflows, including tool-calling agents, memory architectures, and autonomous decision-making systems.
Knowledge of model fine-tuning techniques including LoRA, QLoRA, PEFT, instruction tuning, and RLHF/DPO approaches.
Strong programming skills in Python, proficiency in SQL, and familiarity with distributed data processing platforms.
Solid software engineering practices with clean, testable, reproducible code and CI/CD awareness.
Experience deploying, monitoring, and scaling AI models in production environments.
Proven track record of leading AI/ML initiatives from problem definition through deployment and continuous improvement.

Desired Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related discipline.
Experience with deep learning frameworks such as PyTorch and TensorFlow, including training or fine-tuning large models.
Understanding of responsible AI practices, model safety, guardrails, hallucination mitigation, bias evaluation, and output filtering.
Experience with function-calling and tool-use patterns in LLM applications and reliable agent design.
Exposure to telecom, network operations, AIOps, or related domains is highly desirable.
Contributions to open-source projects or published research are an advantage.

Skills

PythonSQLRAGPrompt EngineeringVector DatabasesOrchestration FrameworksLoRAQLoRAPEFTInstruction TuningRLHFDPOPyTorchTensorFlow

#Data Science#Machine Learning#AI#LLM#Agentic AI#Python

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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