Data Scientist Job in Bengaluru at Ericsson

Ericsson is hiring for the role of Data Scientist!

Responsibilities of the Candidate:

• Design and implement robust AI/ML infrastructure using cloud services and Kubernetes to support machine learning operations (MLOps) and data processing workflows.
• Deploy, manage, and optimize Kubernetes clusters specifically tailored for AI/ML workloads, ensuring optimal resource allocation and scalability across different network configurations.
• Develop and maintain CI/CD pipelines tailored for continuous training and deployment of machine learning models, integrating tools like Kubeflow, MLflow, ArgoFlow or TensorFlow Extended (TFX).
• Collaborate with data scientists to oversee the deployment of machine learning models and set up monitoring systems to track their performance and health in production.
• Design and implement data pipelines for large-scale data ingestion, processing, and analytics essential for machine learning models, utilizing distributed storage and processing technologies such as Hadoop, Spark, and Kafka.

Requirements:

• Extensive experience with Kubernetes and cloud services (AWS, Azure, GCP, private cloud) with a focus on deploying and managing AI/ML environments.
• Strong proficiency in scripting and automation using languages like Python, Bash, or Perl.
• Experience with AI/ML tools and frameworks (TensorFlow, PyTorch, Scikit-learn) and
• MLOps tools (Kubeflow, MLflow, TFX).
• In-depth knowledge of data pipeline and workflow management tools, distributed data processing (Hadoop, Spark), and messaging systems (Kafka, RabbitMQ).
• Expertise in implementing CI/CD pipelines, infrastructure as code (IaC), and configuration management tools.
• Familiarity with security standards and data protection regulations relevant to AI/ML projects.
• Proven ability to design and maintain reliable and scalable infrastructure tailored for AI/ML workloads.
• Excellent analytical, problem-solving, and communication skills.