BriefCase
BriefCase

Specialist - Data Sciences Job in Lti Mindtree

Specialist - Data Sciences

Lti Mindtree 4+ weeks ago
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Job Summary Job Description As an MPLS Engineer you will be responsible for the design development integration and deployment of frameworks tools and pipelines required for the end to end machine learning lifecycle in customer projects You will apply MPLS technologies to operationalize AI solutions at scale integrated with clients business processes and applications You will be responsible for providing technical contribution andor leadership in the creation and delivery of MPLS solutions designed to meet customers business needs and drive outcomes for the customers Skills Must have Python MPLS Good to have Azure Databricks MLflow Terraform Jenkins Responsibilities 1Infrastructure and Environment Management Design implement and manage scalable and reliable infrastructure for machine learning models and applications Ensure seamless integration of machine learning models into production systems 2Continuous IntegrationContinuous Deployment CICD Develop and maintain CICD pipelines for automating the deployment of machine learning models Implement version control and release management practices for machine learning assets 3Model Deployment and Monitoring Deploy machine learning models to production environments and monitor their performance Implement monitoring solutions to detect and address issues related to model drift data quality and system health 4Collaboration with Data Scientists and Engineers Collaborate with data scientists to understand model requirements and facilitate the transition of models from research to production Work closely with software engineers to integrate machine learning solutions into existing applications 5Security and Compliance Implement security best practices for machine learning systems Ensure compliance with relevant regulations and industry standards 6Automation and Scripting Develop automation scripts and tools to streamline the MPLS processes Implement best practices for code and configuration management 7 Troubleshooting and Incident Response Provide support for troubleshooting issues related to machine learning models in production Develop and implement incident response plans for machine learning systems 8Documentation Maintain comprehensive documentation for MPLS processes workflows and configurations Required Skills Knowledge of data platforms and experience with data processing tools Familiarity with machine learning platforms frameworks and tools Experience with MPLS platforms and tools eg MLflow Kubeflow TensorFlow PyTorch Understanding of AI infrastructure and deployment Proficient in scripting languages eg Python Bash xperience with CICD tools eg Jenkins GitLab CI Understanding of cloud platforms eg AWS Azure GCP Databricks Strong proficiency in Linux systems administration Experience with Kubernetes for container orchestration Qualifications BachelorsMasters degree in Computer Science Engineering or a related field Total of 36 years of experience in managing machine learning projects end to end with the last 18 months focused on MPLS Knowledge of machine learning frameworks Proven experience in MPLS DevOps or a related field Strong problemsolving and troubleshooting skills Excellent communication and collaboration skills Knowledge of security practices in mach
Skills Required :
Azure MPLS
Experience Required :

4 to 10 Years

Vacancy :

2 - 4 Hires

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