Software Engineer _ MLOps at Ericsson

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, Java, Scala, Python, JavaScript, LLM Orchestration, Prompt Engineering, RAGs, Agent Orchestration, LangGraph, CrewAI, LangChain, Spark, Jupyter, Tensorflow, Kubeflow

Industry

Telecommunications

Description

Grow with us 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 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 are expanding the Ericsson MLOps Engineering Unit with tech savvy developers with right attitude and skillset. MLOps is an iterative process for building, deploying, operationalizing, and observing AI/ML systems. MLOps aim is to manage the end-to-end life cycle of AI/ML models through all the phases, experimentation, development, deployment, model performance monitoring and re-training and, when needed, re-design and re-architecture to keep models operating in optimal conditions in production environments. A MLOps platform provides services and components to assist and guide organizations through this iterative process. MLOps platform components are designed to overcome the challenges to develop and operate AI/ML systems at industrial scale on production environments. Ericsson is now looking for Software Engineer to expand its MLOps Engineering Development team based in Chennai. You will do: 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 Work with MLOps projects and development teams to identify needs and requirements for AI/ML tools and infrastructure resources. Evaluate and plan capacity of CPU, GPU, memory, storage, and networking resources to balance cost versus desired productivity and performance Develop essential automation scripts and tooling to help 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 MI-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 MI Competence build-up in Ericsson Businesses and Customer Serving Units Develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives You will bring: Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 2+ years of experience with infrastructure, platforms, networking, and software systems; and an overall industry experience of about 4+ years. Strong software engineering experience with one or more of Golang, Java, Scala, Python, JavaScript, using container-based development practices Desirable to have working knowledge in LLM orchestration, OpenAI, Prompt engineering, RAGs, Agent orchestration & Design Patterns, Agentic Frameworks (LangGraph, CrewAI, LangChain) Experience with data analytics and AI/ML systems, for example, Spark, Jupyter, Tensorflow Exposure to frameworks like Kubeflow, MLFlow Exposure 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. Experience with Infrastructure-as-code and SRE ways-of-working Strong system administration skills, Linux and Windows Awareness of ITIL/ITSM methodologies for operations and service delivery 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) || Chennai Req ID: 781011

Responsibilities

The role involves developing, integrating, and automating a core AI/ML software environment in collaboration with data scientists and product developers. Responsibilities include operationalizing open-source components across the entire ML model life-cycle, from development to monitoring and re-training in production environments.