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Senior Machine Learning Developer

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Boeing

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior Machine Learning Developer to join the team in Bangalore, India. 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!

Job Responsibility:

  • 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

Requirements:

  • A Bachelor’s 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 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).

Nice to have:

  • 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.
What we offer:
  • Competitive base pay and incentive programs.
  • Industry-leading tuition assistance program pays your institution directly.
  • Resources and opportunities to grow your career.
  • Up to $10,000 match when you support your favorite nonprofit organizations.

Additional Information:

Job Posted:
December 26, 2025

Expiration:
December 31, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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