AI/ML Professional

1 week ago

Vizag, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

As a seasoned ML specialist, you will be part of our Data Science and AI team, focusing on the technical and engineering aspects of DS/ML/AI solutions.

We are looking for experienced professionals to help us bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators.

Key Responsibilities:
  • Design and 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
  • Implement practical and innovative ML/AI automation solutions for scale and efficiency
  • Develop and manage industrialized processing pipelines
  • Define and implement best practices in ML model life cycles and ML operations
  • Implement AI/MLOps frameworks and support Data Science teams in best practices
  • Gather and apply knowledge on modern techniques, tools, and frameworks in the area of ML Architecture and Operations
  • Lead technical requirements and estimate planned work
  • Present solutions, concepts, and results to internal and external clients

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

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

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