? Job Details at a Glance ? Location Bengaluru, Karnataka, India ? Company Airbus India ? Experience 0-2 years ? Qualification Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science or a related quantitative field ? Eligible Batch 2022, 2023, 2024, 2025 ? Job Type Full Time ? Salary ₹8–₹14 LPA ? Industry Technology ? Key Skills MLOps software engineering DevOps cloud computing REST API development model deployment CI/CD infrastructure automation model observability Python MLOps Engineer at Airbus India — Full Details &

How to Apply Airbus India is seeking an MLOps Engineer in Bengaluru, Karnataka, India , where you can contribute to cutting-edge model deployment and cloud infrastructure automation. This role is pivotal as the demand for MLOps Engineers surges, driven by the increasing adoption of AI technologies across industries. The MLOps Engineer role is crucial in the technology sector, particularly as companies like Airbus India enhance their AI capabilities.

With the aerospace industry increasingly relying on machine learning for operational efficiency, this position directly impacts the performance of AI-driven solutions, making it a key player in the company's growth trajectory.

Airbus

India , part of the global Airbus Group founded in 1970 , employs over 1,500 professionals in India, focusing on aerospace innovation. The company’s commitment to technological advancement and its collaborative culture make it an attractive employer for aspiring engineers looking to develop their careers in the field. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science or a related quantitative field to apply.

This role is open to candidates with 0-2 years experience and offers a market-competitive salary range of ₹8–₹14 LPA

- In this role, you will gain hands-on experience with essential skills such as MLOps , software engineering , DevOps , and cloud computing

- Working with technologies like AWS , FastAPI , and Docker will not only enhance your technical expertise but also open doors to advanced positions within the tech landscape. ? Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this chance as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role &

Responsibilities The MLOps Engineer at Airbus India will develop and maintain a centralized ModelOps platform, leveraging AWS services to enhance machine learning model deployment and performance. Develop and maintain Airbus’s centralized ModelOps platform using AWS SageMaker and AWS Lambda for efficient model management. Build serverless microservices and RESTful APIs for model inference utilizing FastAPI to ensure high performance and scalability.

Collaborate with data science and software engineering teams to create MLOps pipelines, ensuring seamless integration of machine learning models. Monitor model performance and track model drift using AWS CloudWatch metrics, enabling proactive adjustments and improvements. Take ownership of CI/CD pipeline configurations using Jenkins to ensure automated testing and deployment of machine learning models.

Document processes and communicate updates to stakeholders using GitHub for version control, ensuring transparency and collaboration. Engage in problem-solving sessions with clients to address model deployment challenges, leveraging technical expertise in cloud computing

- This role fosters an ownership culture, allowing you to directly impact the efficiency and effectiveness of machine learning deployments at Airbus India

- Required Skills &
- Technical Competencies The ideal candidate for the MLOps Engineer position will possess a robust technical skill set essential for managing the machine learning lifecycle effectively.

Technical

Skills MLOps — entry — essential for managing the machine learning lifecycle, requiring familiarity with CI/CD practices. Python — entry — used for scripting and automation in model deployment and data processing tasks. AWS Services — entry — practical application in deploying and managing models in the cloud environment.

FastAPI — entry — utilized for building high-performance APIs for model inference. GitHub — entry — evaluated through contributions to repositories and collaboration on projects. When showcasing these technical skills in your resume or interview, emphasize specific projects and experiences that demonstrate your proficiency in each area.

Eligibility Criteria

This role is designed for recent graduates with a strong technical foundation, eager to start their careers in MLOps and cloud computing. Bachelor’s or Master’s degree in Computer Science , Software Engineering , or a related field. Eligible batches include 2022 ,



2023 , 2024 , and 2025

- 0-2 years of experience is required, making this role ideal for freshers. A minimum CGPA of 6.0 is preferred, reflecting a solid academic background. A portfolio or GitHub showcasing projects related to MLOps or cloud computing can provide a competitive edge. Documentation &

- Portfolio Requirements Ensure your resume is transparent and concise, highlighting relevant projects and experiences. Include links to your GitHub portfolio to showcase your technical skills.

Pro tip: Highlight specific projects where you utilized AWS services or developed APIs to demonstrate your hands-on experience in MLOps

- Salary for MLOps Engineer at Airbus India ? Compensation ₹8–₹14 LPA The advertised compensation for the MLOps Engineer role at Airbus India is ₹8–₹14 LPA
- The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage.

Recommended

Courses &

- Preparation Tips for MLOps Engineer Upskilling with the right resources significantly enhances your chances of selection for the MLOps Engineer role by equipping you with essential skills and knowledge.

Recommended

Courses &
- Resources cloud computing — Essential for understanding the infrastructure behind MLOps. CI/CD — Crucial for automating deployment processes in MLOps. Python — A key programming language for developing MLOps solutions. AWS Lambda — Important for serverless computing in MLOps workflows. KodNest — Provides hands-on experience with MLOps tools and practices. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌ Failing to tailor your resume for the MLOps Engineer role — Customize your resume to align with the . ❌ Neglecting to showcase relevant technical projects — Highlight projects that demonstrate your MLOps skills. ❌ Using generic language instead of specific achievements — Be precise about your contributions and technologies used. ❌ Overlooking the importance of including links to your GitHub or portfolio — Provide evidence of your technical skills through links. ❌ Submitting a resume with typos or formatting issues — Ensure your resume is polished and professional. ❌ Not preparing for technical interviews — Practice coding challenges and AWS scenarios relevant to MLOps.

Before You

Apply — Checklist ✅ Research Airbus India ’s recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences for the MLOps Engineer role. ✅ Prepare a cover letter that highlights your interest in MLOps and cloud technologies. ✅ Gather any necessary documents, such as transcripts or certificates, for the application. ✅ Ensure your GitHub or portfolio is up-to-date with relevant projects. ✅ Double-check the application deadline and submit your application well in advance. ✅ Follow up on your application status after submission to express continued interest. ✅ Prepare for potential interviews by reviewing common technical questions related to MLOps.

Resume

Tailoring &
- ATS Keywords for MLOps Engineer Optimizing your resume for ATS is crucial for standing out in the selection process for the MLOps Engineer role. ATS Keywords to Include MLOps AWS Python FastAPI CI/CD Model Deployment Infrastructure as Code Docker GitHub REST API Cloud Computing Model Observability Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your understanding of MLOps and cloud technologies. Emphasize collaborative projects that showcase teamwork, particularly in software engineering or data science. Include links to your GitHub or portfolio to provide tangible evidence of your technical skills. Optimize your resume for ATS by incorporating keywords from the . Avoid including unrelated work experience that does not demonstrate your fit for this technical role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro tip: Avoid including generic statements or irrelevant experiences that do not align with the MLOps Engineer role.

How to Apply for MLOps Engineer at Airbus India Apply Now — Airbus India Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to the MLOps Engineer role. Fill out the application form accurately, highlighting relevant experiences.

After submission,



you will receive a confirmation email; keep an eye on your inbox. Use the application tracking feature on the portal to monitor your application status. Applications reviewed on a rolling basis — early submission recommended.

Apply

Now — Airbus India NexisGrow.com does not charge any fees for job applications.

Airbus India Airbus

India was established in 2008 to support the global Airbus Group , and has since expanded its operations to employ over 1,500 employees in Bengaluru, Karnataka
- The company plays a crucial role in the aerospace sector, contributing to the design and manufacturing of advanced aircraft. With a significant global footprint, Airbus India is integral to the company's international operations. The core offerings of Airbus India include the manufacturing of the A320 and A350 families of aircraft, which are known for their efficiency and innovation.

Additionally, the company provides cutting-edge aerospace solutions that leverage advanced technologies, ensuring they remain competitive in the global market. Their commitment to quality is evident in every product they deliver.

Airbus

India fosters a culture of innovation and collaboration, receiving positive reviews on platforms like Glassdoor. The company emphasizes employee development through various programs and initiatives, including mentorship and training opportunities. Recognized for its workplace culture, Airbus India has been awarded accolades for its commitment to fostering a supportive environment for its workforce.

Recently, Airbus India announced a significant investment in AI technologies aimed at enhancing operational efficiency and reducing environmental impact. This initiative is part of a broader strategy to integrate advanced technologies into their operations, ensuring they remain at the forefront of the aerospace industry. Such developments highlight the company's focus on innovation and sustainability.

For freshers in Technology, Airbus India offers a unique launchpad for their careers. Working on groundbreaking technologies in the aerospace sector provides invaluable experience and exposure to cutting-edge practices. The company's commitment to innovation and employee growth ensures that newcomers can develop their skills while contributing to significant projects in the aerospace domain.

Company Details Industry Technology Location

Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website ? ag.wd3.myworkdayjobs.com Frequently Asked Questions Interview

- Role

- Salary
- Growth ? Who can apply for MLOps Engineer at Airbus India?

Eligibility

Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science or a related quantitative field and 0-2 years experience are eligible.

Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: MLOps, software engineering, DevOps, cloud computing, REST API development. Strong fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: ₹8–₹14 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Airbus India?

Interview

Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: MLOps, software engineering, DevOps, cloud computing, REST API development. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the MLOps Engineer interview?

Preparation

Tap to expand + Answer (1) Core concepts of MLOps, software engineering, DevOps, cloud computing, REST API development, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Airbus India research, (5) Clear communication. ? What is the work culture like at Airbus India?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ? Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at Airbus India Work From Home jobs Ready to Apply? Don't Miss This Opportunity!

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