Experienced Machine Learning Developer (MLOps) at Boeing

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

0.0

Posted On

12 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, MLOps, AI, Cloud Native Services, AWS, Azure, GCP, Generative AI, LLMs, RAG, Vector Databases, Prompt Engineering, CI/CD, Terraform, Ansible, Docker

Industry

Aviation & Aerospace

Description

Experienced Machine Learning Developer (MLOps) Company: Boeing India Private Limited 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. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s 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 people’s 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 Experienced 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 organization’s 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 team’s discretion and could potentially change in the future. Basic Qualifications (Required Skills/Experience): Bachelor’s degree is required as 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 hands‑on 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 9 Plus years' related work experience or Master’s Degree with 8+ years of experience with an equivalent combination of education and experience. Relocation: Relocation will be provided within India. Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Not a Shift Worker (India) This site is for current Boeing Subsidiary Employees. If you are not a current Boeing Subsidiary Employee, you should not apply at this site. Please navigate to jobs.Boeing.com to apply to open positions for external applicants. If you are a direct Boeing employee please navigate to "Find Jobs" in Workday. Boeing is committed to protecting, connecting and exploring our world and beyond, safely and sustainably. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment that’s welcoming, respectful and inclusive of every teammate, with great opportunity for professional growth. Find your future with us.

Responsibilities

The role involves leading the design and implementation of scalable, robust, and high-performance Machine Learning and AI architectures, including MLOps and AIOps, leveraging cloud-native services and open-source frameworks. Responsibilities also include building and optimizing continuous integration and continuous deployment (CI/CD) pipelines and developing Generative AI use cases like LLMs and RAG.