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AI/ML Engineer - Python

LINGARO INDIA PRIVATE LIMITED
Anywhere in India/Multiple Locations
6 - 8 Years
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4.2white-divider24+ Reviews

Posted on: 16/12/2025

Job Description

Description :


AI/ML Engineer - Senior Consultant.

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

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

Duties description :

The person we are looking for will become part of Data Science 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.

- Great 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.

We Offer :

- Stable employment.

- On the market since 2008, 1300+ talents currently on board in 7 global sites.

- 100% remote.

- Flexibility regarding working hours.

- Full-time position.

- Comprehensive online onboarding program with a Buddy from day 1.

- Cooperation with top-tier engineers and experts.

- Internal Gallup Certified Strengths Coach to support your growth.

- Unlimited access to the Udemy learning platform from day 1.

- Certificate training programs.

- Lingarians earn 500+ technology certificates yearly.

- Upskilling support.

- Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

- Grow as we grow as a company.

- 76% of our managers are internal promotions.

- A diverse, inclusive, and values-driven community.

- Autonomy to choose the way you work.

- We trust your ideas.

- Create our community together.

- Refer your friends to receive bonuses.

- Activities to support your well-being and health.

- Plenty of opportunities to donate to charities and support the environment.

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