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Machine Learning Operations Engineer Job Opening In India, India – Now Hiring Lingaro


Job 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 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
  • 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.


Please click on this link to submit your application: https://system.Erecruiter.Pl/FormTemplates/RecruitmentForm.Aspx?WebID=ac709bd295cc4008af7d0a7a0e465818

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in India, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
1499 Jobs in India
1499
Download Machine Learning Jobs Trends in India and India

Are You Looking for Machine Learning Operations Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Operations Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lingaro adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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Interview Tips for Machine Learning Operations Engineer Job Success

Lingaro interview tips for Machine Learning Operations Engineer

Here are some tips to help you prepare for and ace your Machine Learning Operations Engineer job interview:

Before the Interview:

Research: Learn about the Lingaro's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Operations Engineer interview at Lingaro, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lingaro's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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