MLops / Data Engineer

Enew Soft Solutions
Department Icon Data Science Analytics & Machine Learning
Posted: 11 months ago
7-10 years
Chennai, Bengaluru, Hyderabad
Data Science Analytics & Machine Learning
work from office
Full Time
Posted: 11 months ago
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Job Description

  • Automating AI/ML model deployment and Setting up monitoring for the ML pipeline Integrate the existing, new codebase to the customer pipelines.
  • Programming, working knowledge of machine learning algorithms and frameworks, and domain knowledge.
  • Providing best practices and executing POC for automated and efficient model operations at scale.
  • Querying and working with databases, testing ML models, Git and version control, frameworks like Flask, FastAPI.
  • Hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. langchain) and APIs to build applications, tools and workflows for production.
  • Familiarity with experiment tracking frameworks such as MLflow
  • Setting up and automating data pipelines using tools such as Airflow, Kafka amd Rabbitmq etc.
  • Automating CI/CD pipelines to account for data, code, and model changes
  • Good on containerization. Proficiency in tools such as Docker and Kubernetes
  • Ability to talk to customer architect team and drive and own the deployment cycle and co-ordinate with AIML developers to deploy the solution

Skills

Agentic AiData EngineeringArtificial IntelligenceBig DataMachine LearningPythonDataEngineeringAlgorithmsKubernetesTestingVersion Control

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