INSenior Associate MLOPS Emerging Businesses Advisory Gurgaon

Job Description & Summary:

4years experiencewith programming languages such as Python and open-source technologies (PySparkPyTorch TensorFlowLangChain Transformers)
4 years of experience with Azure data services like (Azure Synapse Analytics Databricks SQL Databases Azure Machine Learning Azure Cognitive Services etc.)
TheMLOps/LLMOpsEngineer willbe responsible fordesigning operationalizing and scaling AI/ML and Generative AI systems across cloud environments. The role demands deepexpertisein 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 ofLangChainsfor 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/joblibdumps 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 SynapseBigQuery
JupyterVSCode PyCharm
CI/CD( Git GitHub/GitLab Pipelines)

Preferred skill sets:

LangChain NLP Techniques
Automated ML Pipelines Scheduled Training Jobs
Model Packaging & Deployment (Pickle/JoblibK8s/Linux Servers)
Frontend Collaboration (Image Optimization Page Performance)
Monitoring & Resource Estimation for LLM Workloads
Enterprise Architecture for OnPrem LLM Serving

Years of experience:

4 to 8 years

Education qualification:

BEBtech/Mtech/ MCA