Job Title: **** *********
Company: ********
Location: *********, *********, *****
Description:
About this Opportunity




It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution.

Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights.

Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore.

Do you have in depth understanding of Machine Learning and AI technologies?

Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising?

Then, you do want to join Ericsson’s global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data.




What you will do




As a Senior Data Scientist, you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.

Key Responsibilities:




Lead AI/ML feature/capability in a certain functional area of product/business
Define the business metrics of success for AI/ML projects and translate them into model metrics
Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock.
Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain).
Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces.
Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact.
Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases.
Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs.
Mentor junior team members in GenAI frameworks, best practices, and model performance tuning.
Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems.
Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams.
Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data
Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems
Define the visualization and dashboarding requirements working closely with the business stakeholders
Build proof-of-concepts for business opportunities using AI/ML and present them to business
Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions
Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models
Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed.




What you will bring

Minimum Experience Required - 7 years

Job Location - Bangalore

Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction.
Applied experience: 3+ years of ML and/or AI production level experience
Strong Programming skills (R/Python) with proficiency in at least one
Proven ability of leading AI/ML projects end-to-end with complete ownership
Able to map the business metrics of success for AI/ML projects to model metrics
Strong grounding in mathematics, probability, statistics needed for data analysis and experiments
Strong hands-on experience with exploratory data analysis and visualization techniques
Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc.
Ability to implement new algorithms and methodologies from leading open source initiatives and research papers
Ability to work with semi-structured and unstructured data sets for AI/ML models
Strong understanding of building AI models using Deep Neural Networks
Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning
Good Knowledge of using ensembles and stacking techniques to solve complex ML problems
Hands on working in Big Data technologies such as Hadoop, Cassandra etc.
Able to source data from multiple data sources and combine them appropriately to build ML models.

Preferred Qualifications:

Good communication skills in written and spoken English
Creativity and ability to formulate problems and solve them independently
Certifying MI MOOCS, a plus
Applications/Domain-knowledge in Telecommunication and/or IoT, a plus.
Experience with data visualization and dashboard creation is a plus
Knowledge of Cognitive models is a plus
Ability to work independently with high energy, enthusiasm and persistence
Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence.
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