IN_Senior Associate _MLOPS_ Emerging Businesses _ Advisory_ Gurgaon

Job Description & Summary:  

4+ years experience with programming languages such as Python and open-source technologies (PySpark, PyTorch, TensorFlow, LangChain, Transformers) 
4+ years of experience with Azure data services like (Azure Synapse Analytics, Databricks, SQL Databases, Azure Machine Learning, Azure Cognitive Services etc.) 
The MLOps/LLMOps Engineer will be responsible for designing, operationalizing, and scaling AI/ML and Generative AI systems across cloud environments. The role demands deep expertise in model lifecycle management, enterprise-grade AI architectures, and hands-on implementation of robust, secure, and scalable ML/LLM pipelines. The engineer will collaborate closely with data scientists, cloud engineers, and business stakeholders to ensure seamless development-to-deployment workflows. 

Responsibilities: 

• Creation and implementation of enterprise grade architectures for deployments of On-premises ML/LLM models for scalability and efficiency 
• Working with SEO team for SEO pages generation using LLMs with reduction in AI scores and humanizing the AI generated content 
• Fine-tuning LLM models and implementation of RAGs  
• Interacting with multiple teams and understanding the new requirements, doing PoC on newly proposed requirements proposing various solutions for optimization, efficiency and cost saving 
• Creation of Web Pages (Blogs) using regularly updated LLMs, with using NLP techniques for reduction of AI scores and improvement of SEO rankings 
• Implementation of Quality assurance checks for the content being generated from LLMs 
• Implementation of LangChains for achieving requirement specific use-cases 
• Setting up automated ML pipelines on Azure ML Studio for scheduled training of ML models, with CI/CD setups for automating deployments of trained ML model pickle/joblib dumps on corresponding infra like K8s, Linux Servers using tools like Jenkins and version control tools like Git 
• Experience on working with Frontend teams for image optimizations for improving the time and efficiency for rendering the web pages 
• Writing shell scripting for monitoring the efficiency of the generated outputs of LLM models and providing corresponding estimates of required resources for scalability requirements 

Mandatory skill sets: 

Python 
Azure & AWS AI/ML Services 
LLM Finetuning, RAG Implementation 
Enterprise AI/ML Architecture (Cloud + OnPrem) 
Docker, Shell Scripting, Kubernetes (AKS, OnPrem K8s) 
Google Analytics, Azure Synapse, BigQuery 
Jupyter, VSCode, PyCharm 
CI/CD ( Git, GitHub/GitLab Pipelines) 

Preferred skill sets: 

LangChain, NLP Techniques 
Automated ML Pipelines, Scheduled Training Jobs 
Model Packaging & Deployment (Pickle/Joblib → K8s/Linux Servers) 
Frontend Collaboration (Image Optimization, Page Performance) 
Monitoring & Resource Estimation for LLM Workloads 
Enterprise Architecture for OnPrem LLM Serving 

Years of experience required: 

4 to 8 years 

Education qualification: 

BE, Btech / Mtech/ MCA