Senior Machine Learning Engineer I

About this opportunity

As a Senior Machine Learning Engineer (SMLE), will be leading efforts for AI model deployment at scale, involving edge interfacing, ML pipeline and design of supervising and alerting systems for ML models. A specialist software engineer with experience building large-scale systems and enjoys optimizing systems and evolving them.

What you will do:

·       Lead analysis of ML-driven business needs and opportunities for Ericsson and strategic customers.

·       Define model validation strategy and establish success criteria in data science terms.

·       Architect and design data flow and machine learning model implementation for production deployment.

·       Drive rapid development of minimum viable solutions and leverage existing and new data sources.

·       Develop solutions using Generative AI and RAG approaches.

·       Design near real-time streaming and batch applications, ensuring scalability and high availability.

·       Conduct performance analysis, tuning, and apply best practices in architecture and design.

·       Document solutions and support reviews; contribute to product roadmap and backlog governance.

·       Manage system packaging, software versioning, and change management.

·       Perform design and code reviews, focusing on security and functional requirements.

·       Collaborate with product teams to integrate ML models into Ericsson offerings

·       Advocate for new technologies within ML communities and mentor junior team members

·       Build ML competency within Ericsson and contribute to cross-functional initiatives. 

You will bring:

·       Proficient in Python with strong programming skills in C++/Scala/Java.

·       Demonstrated expertise in implementing diverse machine learning techniques.

·       Skilled in using ML frameworks such as  PyTorch, TensorFlow, and Spark ML.

·       Experience designing cloud solutions on platforms like AWS, utilizing services like SageMaker, EKS, Bedrock, and Generative AI models.

·       Expertise in containerization and Kubernetes in cloud environments.

·       Familiarity with Generative AI models, RAG pipelines, and vector embeddings

·       Competent in big data storage and retrieval strategies, including indexing and partitioning.

·       Experience with big data technologies like Spark, Kafka, MongoDB, and Cassandra.

·       Skilled in API design and development for AI/ML models

·       Proven experience writing production-grade software

·       Competence in Codebase repository management like Git and any CI/CD pipelines. 

·       Extensive experience in model development and life-cycle-management in one or more industry/application domain

·       Understanding and application of Security: Authentication and Authorization methods, SSL/TLS, Network Security (Firewall, NSG rules, Virtual Network, Subnet, Private Endpoint etc), Data Privacy handling and protection. 

·       Degree in Computer Science, Data Science, AI, Machine Learning, Electrical Engineering, or related fields from a reputable institution (Bachelor's, Master's, or Ph.D.)

·       10+ years of overall industry experience with 5+ years of experience in AI/ML domain