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- Design and implement high-performing, scalable, enterprise-grade ML/AI applications in cloud environments.
- Collaborate with Data Science, Data Engineering, and Cloud teams to integrate Machine Learning models into production.
- Implement practical and innovative ML/AI automation for scale and efficiency.
- Develop industrialized processing pipelines and define best practices for ML model lifecycle and operations.
- Implement AI/MLOps frameworks and support Data Science teams in best practices.
- Gather and apply knowledge on modern techniques, tools, and frameworks in ML Architecture and Operations.
- Determine technical requirements and estimate planned work.
- Present solutions, concepts, and results to internal and external clients.
- Lead ML projects as Technical Leader, defining tasks, guidelines, and evaluating results.
- Create technical documentation.
- Support and grow junior engineers.
- Good understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, and AI architectures.
- Familiarity with 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.
- Excellent communication skills.
- Able 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.
- Practical experience with other programming languages (PySpark, Scala, R, Java).
- Practical experience with tools like AirFlow, ADF, or Kubeflow.
- 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 in productizing ML solutions using technologies like Docker/Kubernetes.
AI/ML Engineer - Sahibzada Ajit Singh Nagar - Lingaro
Description
Job Title: AI/ML Engineer – Senior Consultant
Lingaro's Data Science & AI Competency Center is seeking an experienced AI/ML Engineer to join our AI Engineering Group. As a senior consultant, you will play a key role in bringing AI/ML solutions into production, automating processes, and defining reusable best practices and accelerators.
Key Duties:
Required Skills:
Nice to Have Skills & Knowledge:
About Lingaro:
We offer stable employment, flexibility, and opportunities for growth. Our company culture emphasizes autonomy, diversity, and inclusivity. We provide comprehensive training programs, unlimited access to the Udemy learning platform, and upskilling support. Join our community of top-tier engineers and experts and take advantage of our generous benefits package.
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