About this opportunity:

The Data Scientist will support software developers, database architects, data analysts and AI/ML architects on various internal and external data science and AI/ML related initiatives and projects that run in cloud based environments.

You are self-directed and comfortable supporting the data analytics, and AIML needs of multiple teams, systems and products. You will also be responsible for integrating the solutions created with the architecture used across the company and its customers.

What you will do:

 9 - 17 years of Telecom/IT experience in a Data related Role with AI ML and Data Science experience.

 At least 5 years’ experience using the following software/tools:

· Python Development for AI/ML and automation

· Data pipeline development in Elastic (ELK) Stack, Hadoop, Spark, Kafka, etc.

· Relational SQL and NoSQL databases, for example Postgres and Cassandra.

·MLOps experience including Model deployment and monitoring

·AI/ML Solutions for prediction, classification, Natural Language Processing

·Generative AI technologies like Large Language Models, Agentic AI, RAG and other developing technologies

 Proficiency in Python programming, with experience in Python libraries commonly used in data engineering and machine learning (e.g., pandas, numpy, scikit-learn)

· Hands-on experience with Kubernetes and containerization technologies (e.g., Docker).

· Proficiency in Linux & Shell scripting knowledge

· Demonstrable skills and track record in the use of modern machine learning frameworks such as Keras, TensorFlow, Scikit-Learn, Spark, Langchain, Langgraph etc. and visualization frameworks e.g. Matplotlib, Seaborn etc

· Demonstrable skills and track record in the use of NLP (Natural Language Processing) frameworks such as nltk, spacy etc.

· Good understanding of various ML concepts and the ability to apply the appropriate algorithms in various contexts and situations.

· Hands on experience with Generative AI technologies like Large Language Models, Agentic AI, RAG and other developing technologies.

· Good understanding of challenges faced when rolling out same ML model for different customers.

· Understanding of MLOps requirements for model management, monitoring, etc., in a production environment

· Familiarity with a Machine Learning Platforms and frameworks

· Familiarity with ElasticSearch, Logstash, and Kibana for log management and data visualization.

· Ability to work with high volumes of data, identifying predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, reinforcement learning and other machine learning systems.

· Knowledge of Data strategy including data quality parameters, data lineage, data catalogue, data architecture, data management, data governance and control etc

· Proficiency in design and development of data pipelines

· Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement.

What you will Bring:

 Responsible to work hand in hand with business representatives to design, architect and deliver AI/ML and/or Generative AI solutions considering business ROI in perspective.

· Create and maintain optimal data pipeline architecture.

· Identify Data intensive and AL/ML Use cases for different existing Managed service accounts.

· Prepare technical presentation, design documents and demonstrations for customer presentations on Data strategy and AI/ML Solutions

Prepare design, solution documents for AI/ML Solutions including classic AI/ML and Generative AI based solutions.

· Assemble large, complex data sets that meet functional / non-functional business requirements.

· Design solutions that will keep data separated and secure across national boundaries through multiple data centers and strategic customers/partners keeping international security standards, organization and customer security       requirements in mind.

· Create toolchains for analytics and data scientist team members that will assist them in building and optimizing our product into an leading industrial product.

· Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems.

· Have strong analytic skills related to work with unstructured datasets.

· Working knowledge of Generative AI technologies, Large Language Models (LLMs), Agentic AI architecture and implementation tools.

· Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Bangalore

Req ID: 766748