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From 5,460 similar postings that came down. Coming down is not always a hire.
Senior AI-ML Platform Engineer / Tech Lead
Bangalore, Karnataka, India
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead a team of engineers, setting objectives and supporting their development
Build and evolve the organisation's AI/ML platform
Act as technical liaison across Cloud, Cybersecurity, and Governance teams
Define engineering standards and platform governance practices
From the employer’s posting
lead a team of professional engineers — setting clear objectives, supporting their development
you will be at the heart of building and evolving the AI/ML platform that powers intelligent capabilities across the organisation
Acting as a key technical liaison across Cloud, Cybersecurity, Governance, and adjacent engineering teams
contribute to defining team responsibilities, engineering standards, and platform governance practices
What you’ll bring
All qualificationsCore experience
- 8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment.
- Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock.
- Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.
- Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.
- Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.
- Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.
Preferred experience
- Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.
Qualification wording
8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment.
Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock.
Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.
Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.
Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.
Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.
Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Emdgroup is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Rust
- AWS
- Azure
- Docker
- Grafana
- Terraform
Where the posting names them
- Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing. - Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus. - Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.
- 8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment. - Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock. - Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.
- Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock. - Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing. - Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.
- Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus. - Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation. - Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.
- Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation. - Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling. - Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.
Your next step
Complete your application on careers.emdgroup.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Senior AI/ML Platform Engineer / Technical Lead (all genders)
Your Role
As a Senior AI/ML Platform Engineer and Technical Lead, you will be at the heart of building and evolving the AI/ML platform that powers intelligent capabilities across the organisation. In this role, you will lead a team of professional engineers — setting clear objectives, supporting their development, and being accountable for the quality, accuracy, and timeliness of the team's output. You will solve complex, operationally important engineering challenges by filtering and prioritising inputs from a wide range of internal and external sources, drawing on an in-depth understanding of how platform sub-functions work together. Acting as a key technical liaison across Cloud, Cybersecurity, Governance, and adjacent engineering teams, you will ensure the platform remains aligned with enterprise standards and emerging best practices. Your decisions will be guided by resource availability and organisational objectives, and you will contribute to defining team responsibilities, engineering standards, and platform governance practices that raise the quality bar across closely related teams.
Who You Are
- 8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment.
- Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock.
- Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.
- Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.
- Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.
- Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.
- Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.
- Demonstrated ability to lead professional engineers, set team priorities, and drive platform quality — balancing hands-on technical depth with team accountability and a focus on scalable, well-governed engineering.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.