Senior Software Engineer_AI-ML

Ericsson Overview:

Ericsson is world’s leading provider of communications technology and services. Our offerings include services, consulting, software and infrastructure within Information and Communications Technology.

Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet’s greatest challenges.

We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team.

Exciting Opportunity:

It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., /6G networks 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 develop Ericsson MLOps framework.

Ericsson MLOps is a common and customizable MLOps framework for scaling AI adoption across Ericsson. Ericsson MLOps is intended to be embedded into different Ericsson products and services by internal stakeholders with AI use cases to facilitate an efficient end to end Life Cycle Management of ML models, including experimentation, development, deployment, monitoring and re-training. By introducing a common MLOps framework we get a company wide common environment for development and execution of ML which will increase R&D efficiency by unifying technology choices and enabling re-use and collaboration. This allows stakeholders to focus more on their use cases. Furthermore, Ericsson MLOps will enable ML deployments at scale and quality, managing large amounts of models with efficient tracking, monitoring and re-training.

An important benefit of Ericsson MLOps is that it is cloud agnostic and supports on-prem deployments, while the global footprint of HCP support for AI is still very limited.

Ericsson MLOps Engieering Unit is now looking for Senior Software Engineer to further strengthen existing team in Chennai.

Role Summary:

As a Senior Software Engineer, you will architect, implement, test and deploy AI/ML Services and Systems, enabling AI Applications Development and Production deployment with focus on scaling, monitoring and performance.

The MLOps Platform unit is designing, engineering, operating, and maintaining a core system that delivers AI/ML Services and Systems, e.g. CI/CD, data exploration notebooks (Jupyter), ML model development and deployment, workflow engines, and ML frameworks (i.e. TensorFlow) for easy consumption by Ericsson products and services.

The AI/ML Platform covers infrastructure capacity and tools for all AI/ML project and system needs for Ericsson products to realize telecom AI/ML Use cases. The main approach is to integrate/extend existing private and public cloud infrastructures, and to base the toolbox components on open source software. The deployed environments are heterogeneous, so multi-cloud, hybrid-cloud, and WAN networking are also key technology areas.

In this role, you are expected to be a very hands-on leader, functioning as an individual contributor, as well as leading others.

Key Responsibilities:

• As Architect perform detailed studies providing technical anatomy with estimates, implementation architecture/solution proposal,
• As a Cloud Native – Micro Service Architecture based developer be proficient in languages like Python, Go, Java with applications deployed in containers on Kubernetes.
• Develop/integrate/automate a core AI/ML software environment, in close collaboration with data scientist and product developers
• Operationalize and extend open source software components, covering the entire ML model life-cycle, including e.g. data transformation, model development, deployment, monitoring, re-training, security.
• Collaborate with product development teams and partners in Ericsson Businesses to industrialize a platform for machine learning models and solutions as part of Ericsson offerings including providing code, workflows and documents
• Evaluate and plan capacity of CPU, GPU, memory, storage, and networking resources to balance cost versus desired productivity and performance
• Develop essential Pipelines for CI/CD, Test automation scripts and tooling to help short release cycles, quality assurance, maintenance, migration, and cost-control of infrastructure deployments.
• Manage communication, planning, collaboration and feedback loops with business stakeholders.
• Model the business problem statement into AI/ML problem.
• Contribute to IPR creation for Ericsson in AI/ML
• Lead functional and technical analysis within Ericsson businesses and for strategic customers to understand ML-driven business needs and opportunities
• 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.
• Provide ML Competence build-up in Ericsson Businesses and Customer Serving Units
• Develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives

Key Qualifications:

• Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction.
• Applied experience: 5+ years of experience with infrastructure, platforms, networking, and software systems; 3+ years of experience with leading teams of engineers and system administrators; and an overall industry experience of about 10+ years.
• Strong software engineering experience with one or more of Go, Python, Java using container-based Cloud Native – Micro Service development practices.
• Certified Kubernetes Application Developer (CKAD) is desirable
• Experience with data analytics and AI/ML systems, for example, Spark, Jupyter, Tensorflow
• Experience with large scale systems, for example reliability/HA, deployment, operations, testing, and trouble-shooting.
• Experience with delivering software products, for example release management, documentation
• Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services.
• Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems.
• Experience with WAN networking solutions, redundancy/fail-over, QoS, and VPN technologies.
• Strong system administration skills, Linux and Windows
• Awareness of ITIL/ITSM methodologies for operations and service delivery

Soft Skills:

• Good communication skills in written and spoken English
• Great Team worker and collaborator
• Creativity and ability to formulate problems and solve them independently
• Self-driven and ability to work through abstraction
• Ability to build and nurture internal and external communities
• Ability to work independently with high energy, enthusiasm to learn and deliver with 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