Senior Machine Learning Engineer - AI

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. 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.
At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. With us, you can create and contribute to what matters most in your career, community, country, and world. The Boeing Company is currently seeking a Senior Machine Learning Developer to join the team in Bangalore, 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. 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!

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
This position is hybrid. BasicQualifications (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.

Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
Not a Shift Worker (India)
We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.