BriefCase
BriefCase

Ml Ops Lead Job in Resourcetree Global Services Pvt Ltd.

Ml Ops Lead

Resourcetree Global Services Pvt Ltd. 4+ weeks ago
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Job Summary The Role: Collaborate with data scientists and ML engineers throughout the ML lifecycle, from model development to production deployment. Design and implement MLOps pipelines using tools and frameworks like TensorFlow Serving, Kubeflow, MLflow, or similar solutions. Design, develop, and implement data pipelines and engineering infrastructure to support enterprise-scale machine learning systems. This could involve tasks such as data ingestion, pre-processing, transformation, feature engineering, and model training. Design and implement cloud-based MLOps solutions using platforms like Azure ML, Azure Databricks, AWS SageMaker, or Google Cloud AI Platform. Hands-on experience with Azure cloud services, including Azure ML, Azure DevOps, AKS, Azure Container Registry (ACR), Azure Application Insights, and Azure Log Analytics, is essential. Experience in containerization technologies like Docker and Kubernetes is a plus. Experience deploying and maintaining various types of machine learning models in production, including text/NLP models, is required. Experience with Generative AI (GenAI) projects is a plus. Build CI/CD pipelines using tools like GitLab CI, GitHub Actions, Airflow, or similar solutions to automate the ML lifecycle. Perform data science model reviews, including code refactoring and optimization, containerization, deployment, versioning, and monitoring of the model s quality. Support data model development, with a focus on auditability, versioning, and data security. This could involve implementing practices like lineage tracking, model explainability, and bias detection. Mentoring junior MLOps engineers or collaborating with multiple teams like consulting, data engineering, development team. Qualifications: Total 7+ years of work experience , 3+ years in MLOps Strong expertise in GenAI, advanced NLP, computer vision, and ML techniques. Experience in designing, developing, and deploying production-grade AI solutions. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Strong problem-solving and analytical skills. Stay up-to-date on the latest advancements in MLOps technologies and identify and evaluate new tools and techniques to improve the performance, maintainability, and reliability of machine learning systems. We offer you Opportunity to work on cutting-edge AI projects A chance to try things, take risks. Meaningful problems you ll be proud of solving, which directly adds to your career growth & skill development People you will be comfortable working with
Experience Required :

Minimum 7 Years

Vacancy :

2 - 4 Hires

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