Senior Data Scientist

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.
Responsibilities:
1. Lead AI/ML features/capabilities in product/business areas
2. Define business metrics of success for AI/ML projects and translate them into model metrics
3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases
4. Design and implement architectures for vector search, embedding models, and RAG systems
5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks
6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases
7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem.
8. Develop secure, scalable, and production-grade AI pipelines
9. Ensure ethical and responsible AI practices
10. Mentor junior team members in GenAI frameworks and best practices
11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques
12. Contribute to internal AI governance, tooling frameworks, and reusable components
13. Work with large datasets including petabytes of 4G/5G networks and IoT data
14. Propose/select/test predictive models and other ML systems
15. Define visualization and dashboarding requirements with business stakeholders
16. Build proof-of-concepts for business opportunities using AI/ML
17. Lead functional and technical analysis to define AI/ML-driven business opportunities
18. Work with multiple data sources and apply the right feature engineering to AI models
19. Lead studies and creative usage of new/existing data sources

What you will bring

Required Experience - min 7 years
1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes
2. 3+ years of applied ML/AI production-level experience
3. Strong programming skills (R/Python)
4. Proven ability to lead AI/ML projects end-to-end
5. Strong grounding in mathematics, probability, and statistics
6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML)
7. Experience with semi-structured/unstructured data for AI/ML models
8. Strong understanding of building AI models using Deep Neural Networks
9. Experience with Big Data technologies (Hadoop, Cassandra)
10. Ability to source and combine data from multiple sources for ML models
Preferred Qualifications:
1. Good communication skills in English
2. Certifying MI MOOCs, a plus
3. Domain knowledge in Telecommunication/IoT, a plus
4. Experience with data visualization and dashboard creation, a plus
5. Knowledge of Cognitive models, a plus
6. Experience in partnering and collaborative co-creation in a global matrix organization.