01
TRPD-26-05194
Senior MLOps Engineer (Azure/Databricks, GenAI/LLMOps)
Senior MLOps Engineer to manage end-to-end MLOps on Azure, covering ML training pipelines, feature stores, batch/real-time inference, monitoring, and model/version lifecycle. Strong hands-on Python ML stack (Pandas, scikit-learn, TensorFlow), MLflow, PySpark, and Azure services including Azure ML, Databricks, Azure Data Factory, Azure Functions, Azure OpenAI, and AI Search. The role also builds CI/CD using Azure DevOps or GitHub Actions and applies GenAI/LLMOps concepts such as LLMs, prompt engineering, and RAG to production-grade solutions.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 8 years and Maximum 11 years
Role overview
Why This Role Matters.
Senior MLOps Engineer to manage end-to-end MLOps on Azure, covering ML training pipelines, feature stores, batch/real-time inference, monitoring, and model/version lifecycle. Strong hands-on Python ML stack (Pandas, scikit-learn, TensorFlow), MLflow, PySpark, and Azure services including Azure ML, Databricks, Azure Data Factory, Azure Functions, Azure OpenAI, and AI Search. The role also builds CI/CD using Azure DevOps or GitHub Actions and applies GenAI/LLMOps concepts such as LLMs, prompt engineering, and RAG to production-grade solutions.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Strong hands-on experience in Python, Pandas, Scikit-learn, MLflow, PySpark, and TensorFlow.
03
Experience with Azure ML, Databricks, Azure Data Factory, Azure Functions, Azure OpenAI, and AI Search.
04
Build and manage CI/CD pipelines using Azure DevOps or GitHub Actions.
05
Knowledge of LLMs, Prompt Engineering, RAG, GenAI frameworks, and LLMOps.
06
Design scalable ML solutions and collaborate effectively with cross-functional teams.
07
Azure/AWS ML certifications and AWS ML services.
08
AKS/Kubernetes, Java.
09
Optimization tools: CPLEX, Gurobi, SCIP, COIN-OR.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
MLOps
Required
02
LLMOps
Required
03
GenAI
Required
04
Python
Required
05
Pandas
Required
06
scikit-learn
Required
07
TensorFlow
Required
08
PySpark
Required
09
MLflow
Required
10
Azure ML
Required
11
Azure Databricks
Required
12
Databricks
Required
13
Azure Data Factory
Required
14
ADF
Required
15
Azure Functions
Required
16
Azure DevOps
Required
17
GitHub Actions
Required
18
CI/CD
Required
19
Feature Store
Required
20
Model Monitoring
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
End-to-end MLOps (training pipelines, feature stores, batch/real-time inference, monitoring, model versioning)
Python
Pandas
scikit-learn
TensorFlow
PySpark
MLflow
Azure Machine Learning (Azure ML)
Databricks (Azure Databricks)
Azure Data Factory (ADF)
Azure Functions
Azure OpenAI
Azure AI Search (Cognitive Search)
CI/CD pipelines
Azure DevOps or GitHub Actions
LLMs fundamentals
Prompt engineering
RAG (Retrieval-Augmented Generation)
GenAI frameworks
LLMOps
Preferred
Nice to Have
Azure ML certifications
AWS ML certifications
AWS ML services
AKS (Azure Kubernetes Service)
Kubernetes
Java
Optimization solvers (CPLEX, Gurobi, SCIP, COIN-OR)
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior MLOps Engineer (Azure/Databricks, GenAI/LLMOps)
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