Senior Machine Learning Developer (MLOps)

Company:

Overview

As a leading global aerospace company Boeing develops manufactures and services commercial airplanes defense products and space systems for customers in more than 150 countries. As a top U.S. exporter the company leverages the talents of a global supplier base to advance economic opportunity sustainability and community impact. Boeings team is committed to innovating for the future leading with sustainability and cultivating a culture based on the companys core values of safety quality and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) is a 5500 engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D innovation and high-quality engineering work in global markets and leverage new-age technologies such as AI/ML IIoT Cloud Model-Based Engineering and Additive Manufacturing shaping the future of aerospace.

People-driven culture

At Boeing we believe creativity and innovation thrives when every employee is trusted empowered and has the flexibility to choose grow learn and explore. We offer variable arrangements depending upon business and customer needs and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration frequent team engagements and face-to-face meetings bring together different perspectives and thoughts enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work we are committed to positively shaping peoples careers and being thoughtful about employee wellbeing.

With us you can create and contribute to what matters most in your career community country and world. Join us in powering the progress of global aerospace.

About Position / Position Summary

The Boeing Company is currently seeking a Senior Machine Learning Developer to join the team in Bangalore India.

This role will be based out of Bengaluru India.

Employer will not sponsor applicants for employment visa status.

We are looking for a talented and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will play a pivotal role in leading designing and implementing scalable machine learning systems and solutions that empower our organization to make informed data-driven decisions. As a Machine Learning Developer you will collaborate closely with cross-functional teams to thoroughly understand business requirements and translate them into high reliable solution designs. You will then lead highly scalable secure and cost-effective solutions tailored to address specific business challenges. This role demands a deep understanding of cloud data and machine learning technologies along with a proven track record in developing repeatable and reusable architecture frameworks.

Join us in shaping the future of our cloud and data strategy!

Position Responsibilities:

• Design and Build highly reliable and scalable ML and AI solutions that align with the organizations business goals and objectives
• Lead the creation and implementation of scalable robust and high-performance ML architectures including MLOps AIOps leveraging cloud native services (AWS Azure GCP) and open-source frameworks
• Design build and optimize machine learning models ensuring accuracy efficiency and scalability
• Collaborate with data engineers data scientists software developers and DevOps teams to integrate ML models into production systems
• Assess and recommend ML tools frameworks and platforms to deliver business value and foster innovation
• Design and development of Generative AI and AI use cases (LLMs RAG Agentic multi model AI fine tuning. Vector databases and prompt engineering)
• Build and optimize continuous integration and continuous deployment (CI/CD) pipelines to enable rapid and reliable software releases
• Automate repetitive tasks including provisioning configuration and monitoring using tools like Terraform Ansible or similar
• Work closely with developers to integrate DevOps and MLOps practices into the software development lifecycle and support containerized applications (e.g. Docker Kubernetes)
• Own all communication and collaboration channels pertaining to execution of assigned projects including regular stakeholders senior leadership and cross-team updates
• Establish working relationships with vendors (Technology and Consulting) partners and cross teams and holding them accountable

This position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring teams discretion and could potentially change in the future.

BasicQualifications (Required Skills/Experience):

• A Bachelors degree or higher is required as a BASIC QUALIFICATION
• 5 years of experience in designing and deploying ML workloads in AWS Azure or GCP leveraging Kubernetes Docker and Terraform for containerized and Infrastructure-as-Code environments
• 3 years of experience with handson experience with MLFlow Kubeflow SageMaker Vertext AI or Databricks ML Runtime for model tracking deployment and CI/CD integration
• 5 years of progressive experience in DevOps and cloud platform operations.
• 3 years of hands-on experience designing implementing and managing multi-cloud CI/CD pipelines (AWS Azure GCP Databricks Snowflake).
• 3 years of experience in Infrastructure as Code (IaC) using Terraform CloudFormation or Ansible and experience in containerization using Docker & Kubernetes.
• 3 years of experience implementing observability monitoring and tracing frameworks (Prometheus Grafana ELK/EFK Datadog etc.)
• 3 years of experience applying FinOps and cost optimization strategies in CI/CD pipelines and cloud operations to drive efficiency resource accountability and transparency spend.
• 3 years of experience in implementing security controls in CI/CD pipelines and cloud platforms (IAM RBAC secrets management encryption).

Preferred Qualifications (Desired Skills/Experience):

• 5 years of strong scripting and automation skills (Bash Python PowerShell or similar).
• 3 years of experience in Manufacturing and Aviation
• 3 years of experience implementing event-driven cloud-agnostic DevOps architectures supporting microservices APIs and serverless workloads.
• 3 years of experience integrating DevOps MLOps and expertise in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines.

Typical Education & Experience:

• Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 16 Plus years related work experience or Masters Degree with 15 years of experience with an equivalent combination of education and experience.

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Language Requirements:

Education:

Relocation:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift: