Senior Data Scientist II
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Ericsson is seeking a Senior Data Scientist II to lead the design and implementation of AI/ML models, including Agentic AI systems and LLM-powered applications. The role requires 8-14 years of experience, strong Python and SQL skills, and production deployment experience.
Responsibilities
- Lead the design and implementation of machine learning and statistical models to solve complex business problems.
- Architect and build Agentic AI systems, including multi-agent pipelines and autonomous reasoning loops.
- Design and deploy LLM-powered applications, including RAG pipelines and fine-tuned domain models.
- Collaborate with cross-functional teams to identify AI-driven solution opportunities.
- Perform data exploration, feature engineering, and dataset curation.
- Evaluate model performance using rigorous metrics, ensuring interpretability, fairness, and robustness.
- Contribute to reusable AI frameworks, internal tooling, and shared libraries.
- Stay at the forefront of AI/ML research, tracking arXiv, open-source releases, and industry developments.
Requirements
- 8–14 years of applied Data Science and Machine Learning experience, with demonstrated progression in scope and complexity of owned systems.
- Deep expertise in classical ML - regression, classification, clustering, ensemble methods, time-series modeling, and anomaly detection.
- Hands-on experience building LLM-based systems: RAG architectures, prompt engineering, context window management, vector databases, and LLM orchestration frameworks.
- Practical experience designing Agentic AI workflows - including tool-calling agents and memory architectures.
- Proficiency in model fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning, and RLHF/DPO alignment approaches.
- Strong programming skills in Python, with proficiency in SQL and familiarity with distributed data processing.
- Solid software engineering discipline - clean, well-tested, reproducible code with CI/CD awareness.
- Experience deploying and scaling AI models in production with robust monitoring, observability, and performance management.
- Proven track record of end-to-end ownership of AI/ML projects - from problem framing through production deployment and iteration.
Desired Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Experience with deep learning frameworks (PyTorch, TensorFlow) and training or fine-tuning large models.
- Familiarity with model safety, guardrails, and responsible AI practices, including output filtering, hallucination mitigation, and bias evaluation.
- Experience with function calling / tool use patterns in LLMs and building structured, reliable agent behaviors.
- Domain exposure in telecom, network operations, or AIOps is highly desirable.
- Contributions to open-source AI projects or published research is a plus.
Benefits
- Outstanding opportunity to use your skills and imagination to push the boundaries of what’s possible.
- Work on solutions never seen before to some of the world’s toughest problems.
- Be challenged, but not alone – join a team of diverse innovators.
- Opportunity to craft what comes next.
#Data Science#Machine Learning#Artificial Intelligence#Electrical Engineering#Data Analysis#Analysis#Algorithms#Python#Predictive Modeling#HiveQL
Company
Ericsson
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Bangalore, India
Qualification
Master, Doctoral, Bachelor
Applicants
Be an early applicant