Job Location: Bangalore
About this opportunity
The complexity of emerging 5G networks makes manual management and operations of these networks impossible. AI technologies, including Machine Learning, are increasingly being used to drive intelligent automation and autonomous operation of 5G networks that will drive economic and social transformation. Towards this, we have setup a Global AI Accelerator (GAIA) in the US, Sweden and India, with 300 experts, to fast-track our strategy execution.
We use a combination of Machine Learning and other Artificial Intelligence technologies to drive thought leadership to automate and transform Ericsson offerings and operations, including new and emerging business. This includes development of models, frameworks and infrastructure where we not only drive MI based product innovation, but also push the MI technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the industry by developing powerful solutions that simplify and automate processes in our products and services and build new value through data driven insights.
We are looking for Senior Machine Learning Engineer for our GAIA team in Bangalore, who has a passion for industrializing MI solutions. Someone who can conceptualize the end to end solution lifecycle for a given data science problem, i.e., from Design to Production and efficiently implement them with the goal of producing work of the highest quality
What you will do
- Lead functional and technical analysis within Ericsson businesses and for strategic customers to understand MI driven business needs and opportunities. Define the model validation strategy and business success criteria in data science terms!
- Identify the right architecture and flow for the data and DS model. Design the implementation and deployment strategy for the model into production
- Chip in to rapid and iterative development of validated minimum viable solutions addressing these needs. This includes working with petabytes of 4G/5G- networks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, reinforcement learning and other machine learning systems
- Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to demonstrate existing data models and build new ones as needed.
- Collaborate with product development teams and partners in Ericsson Businesses to industrialize machine learning models and solutions as part of Ericsson offerings including providing source code, workflows and documents
- Work with unstructured data including text and images in AI/ML models
- Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists.
- Provide MI Competence build-up in Ericsson Businesses and Customer Serving Units
- Develop new and apply/extend existing, concepts, methodologies, techniques for multi-functional initiatives
- Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs
- Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc.
You will bring
- Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes!
- Applied experience: 5+ years of ML and/or AI production level experience; and an overall industry experience of around 8+ years.
- Proven skills of implementing a variety of Machine Learning techniques
- Solid skills in the use of current machine learning frameworks such as H2O, Keras,TensorFlow, Spark ML etc.
- Experience developing with containers and Kubernetes in cloud computing environments
- Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
- Good with effective big data storage and retrieval strategies including indexing, partitioning, etc.
- Hands on working with data pipeline and flow. Hands on with API design/development for AI/ML models
- Proven ability of leading projects end-to-end. Proven experience writing production-grade software
- Extensive experience in model development and life-cycle-management in one or more industry/application domain. Proven experience in developing MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models
- Strong Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++
- Good communication skills in written and spoken English
- Creativity and ability to formulate problems and solve them independently
- Ability to build and nurture internal and external communities
- Experience in writing and presenting white papers, journal articles and technical
blogs on the results
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 never seen before solutions 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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that’s why we nurture 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 and Affirmative Action employer, learn more.
Submit CV To All Data Science Job Consultants Across Bharat For Free