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- 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 for scale and efficiency.
- Develop and 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.
- Gather and apply knowledge on modern techniques, tools, and frameworks in ML Architecture and Operations.
- Present solutions, concepts, and results to internal and external clients.
- Lead ML projects as Technical Leader, defining tasks, guidelines, and evaluating results.
- Strong 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, along with working knowledge of 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.
- 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.
- 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, along with experience working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps).
- Experience applying and/or defining software engineering best practices.
- Experience productizing ML solutions using technologies like Docker/Kubernetes.
- Stable employment with a company established since 2008, employing over 1300 talents across 7 global sites.
- 100% remote work options.
- Flexibility regarding working hours.
- Full-time position with comprehensive online onboarding program and buddy support from day one.
- Opportunities for growth and upskilling through certificate training programs, competency centers, and community webinars.
- A diverse, inclusive, and values-driven community with autonomy to choose work style.
- Pleasant work environment with activities supporting well-being and health, as well as opportunities to donate to charities and support the environment.
AI/ML Engineer - Panchkula - Lingaro
Description
Senior AI/ML Engineer
We are seeking a highly experienced Senior AI/ML Engineer to join our AI Engineering Group, part of the Data Science & AI Competency Center. The successful candidate will work on technical and engineering aspects of DS/ML/AI solutions, helping us bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators.
Key Responsibilities:
Requirements:
Nice to Have:
We Offer:
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