Data Scientist – REMOTE

Job title: Data Scientist – REMOTE

Company: Deltacubes Pvt Ltd

Job description: Work Experience : 3+ yearsIndustry : IT ServicesRemote JobJob DescriptionData Scientist (MLOps)Job Description:We are seeking a versatile and adaptable Data Scientist with expertise in a range oftechnology domains, including Network Operations, Infrastructure Management,Cloud Computing, MLOps,Deep Learning, NLP, DevOps, LLM infrastructure.This role encompasses a wide range of responsibilities, including designing andimplementing cloud solutions,building MLOps pipelines on cloud platforms (AWS, Azure), orchestrating CI/CDpipelines using tools like GitLab CI and GitHub Actions,and taking ownership of data pipeline and engineering infrastructure design tosupport enterprise machine learning systems at scale.Responsibilities:Infra:Manage cloud-based infrastructure on AWS and Azure, focusing on scalability andefficiency.Utilize containerization technologies like Docker and Kubernetes for applicationdeployment.NetOpsMonitor and maintain network infrastructure, ensuring optimal performance andsecurity.Implement load-balancing solutions for efficient traffic distribution.Infrastructure and Systems Management:Cloud Computing:Design and implement cloud solutions, including the development of MLOpspipelines.Ensure proper provisioning, resource management, and cost optimization in a cloudenvironment.MLOps and DevOps:Orchestrate CI/CD pipelines using GitLab CI and GitHub Actions for streamlinedsoftware delivery.Collaborate with data scientists and engineers to operationalize and optimize datascience models.Apply software engineering rigor, including CI/CD and automation, to machinelearning projects.Data Pipelines and Engineering Infrastructure:Design and develop data pipelines and engineering infrastructure to supportenterprise machine learning systems.Transform offline models created by data scientists into production-ready systems.Build scalable tools and services for machine learning training and inference.Technology Evaluation and Integration:Identify and evaluate new technologies to enhance the performance, maintainability,and reliability of machine learning systems.Develop custom integrations between cloud-based systems using APIs.Proof-of-Concept Development:Facilitate the development and deployment of proof-of-concept machine learningsystems.Emphasize auditability, versioning, and data security during development.Requirements:Strong software engineering skills in complex, multi-language systems.Proficiency in Python and comfort with Linux administration.Experience working with cloud computing and database systems.Expertise in building custom integrations between cloud-based systems using APIs.Experience with containerization (Docker) and Kubernetes in cloud computingenvironments.Familiarity with data-oriented workflow orchestration frameworks (KubeFlow,Airflow, Argo, etc.).Ability to translate business needs into technical requirements.Strong understanding of software testing, benchmarking, and continuous integration.Exposure to machine learning methodology and best practices.Exposure to deep learning approaches and modeling frameworks (PyTorch,TensorFlow, Keras, etc.).If you are a dynamic engineer with a diverse skill set, from cloud computing toMLOps and beyond, and you are eager to contribute to innovative projects in acollaborative environment, we encourage you to apply for this challenging andmultifaceted role. Join our team and help us drive technological excellence acrossour organization.

Expected salary:

Location: Hyderabad, Telangana

Job date: Thu, 01 Aug 2024 22:36:49 GMT

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