Duties description:

The person we are looking for will become part of DataScience and AI Competency Center working in AI Engineering team. The key duties are:

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

Must have 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 team and support others

Taking responsibility for tasks and deliverables

Outstanding 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

₹0 - ₹0 a year

📌 AI Engineer (India)
🏢 Important Company of the Sector
📍 India