Lingaro

AI Engineer

Lingaro

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPySparkPythonScala

About the role

  • Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment
  • Working with Data Science, Data Engineering and Cloud teams to implement Machine Learning models into production
  • Practical and innovative implementations of ML/AI automation, for scale and efficiency
  • Design, delivery and management of industrialized processing pipelines
  • Defining and implementing best practices in ML models life cycle and ML operations
  • Implementing AI/MLOps frameworks and supporting Data Science teams in best practices
  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
  • Gathering technical requirements & estimating planned work
  • Presenting solutions, concepts and results to internal and external clients
  • Being Technical Leader on ML projects, defining task, guidelines and evaluating results
  • Creating technical documentation
  • Supporting and growing junior engineers

Requirements

  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
  • Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably GCP
  • Experience in programming ML algorithms and data processing pipelines using Python
  • At least 6-8 years of experience in production ready code development
  • Experience in designing and implementing data pipelines
  • Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks
  • Good communication skills
  • Ability to work in team and support others
  • Taking responsibility for tasks and deliverables
  • Great problem-solving skills and critical thinking
  • Fluency in written and spoken English.
  • Nice to have skills & knowledge:
  • Practical experience with other programming languages: PySpark, Scala, R, Java
  • Practical experience with tools like AirFlow, ADF or Kubeflow
  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps)
  • Experience in applying and/or defining software engineering best practices
  • Experience productization ML solutions using technologies like Docker/Kubernetes

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningAIPythondata processing pipelinesML algorithmsML solutionsGCP Vertex.AIDatabricksDockerKubernetes
Soft skills
communication skillsteamworkresponsibilityproblem-solvingcritical thinkingtechnical leadershipsupporting otherscreating documentationpresenting solutionsguideline definition