Senior AI/ML Software Developer

2 days ago

Varanasi, Uttar Pradesh, India beBeeArtificial Intelligence Engineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI/ML Engineer – Senior Consultant

The AI Engineering Group is part of the Data Science & AI Competency Center, focusing on technical and engineering aspects of DS/ML/AI solutions.

We are seeking an experienced AI/ML Engineer to join our team and help bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators.

  • Develop high-performing, scalable, enterprise-grade ML/AI applications in cloud environments.
  • Collaborate with Data Science, Data Engineering, and Cloud teams to implement Machine Learning models into production.
  • Design and implement ML/AI automation for scale and efficiency.
  • Manage industrialized processing pipelines.
  • Define and implement best practices in ML models life cycle and ML operations.
  • Implement AI/MLOps frameworks and support Data Science teams in best practices.
  • Stay up-to-date with modern techniques, tools, and frameworks in ML Architecture and Operations.
  • Gather and estimate technical requirements.
  • Present solutions, concepts, and results to internal and external clients.
  • Lead ML projects as a Technical Leader, defining tasks, guidelines, and evaluating results.
  • Create technical documentation.
  • Support and grow junior engineers.

Required Skills:

  • 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 a 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:

  • 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 productizing ML solutions using technologies like Docker/Kubernetes.

Benefits:

  • Stable employment.
  • 100% remote work option.
  • Flexibility regarding working hours.
  • Full-time position.
  • Comprehensive online onboarding program with a

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