LLMOps Engineer

at Fractal Analytics

LLMOps Engineer

Fractal Analytics

Company

Home

LLMOps Engineer

at Fractal Analytics

Posted by Reshika Mendiratta

4yrs+

Best in industry

Bengaluru (Bangalore), Hyderabad, Gurugram, Noida, Pune, Mumbai, Chennai, Coimbatore

Skills

Generative AI

Machine Learning (ML)

LLMOps

Large Language Models (LLM) tuning

Open-source LLMs

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

MLOps

Amazon Web Services (AWS)

Windows Azure

Google Cloud Platform (GCP)

guardrails

Prompt engineering

Vector database

Python

Natural Language Processing (NLP)

Langchaing

DevOps

Kubernetes

CI/CD

Role description:

You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role.

Required skills:

4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
Should have worked on proprietary and open source large language models
Experience on LLM fine tuning, creating distilled model from hosted LLMs
Building data pipelines for model training
Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
Experience in GenAI application deployment on cloud and on-premise at scale for production
Experience in creating CI/CD pipelines
Working knowledge on Kubernetes
Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
Experience in light weight UI development using streamlit or chainlit (optional)
Desired experience on open-source tools for ML development, deployment, observability and integration
Background on DevOps and MLOps will be a plus
Experience working on collaborative code versioning tools like GitHub/GitLab
Team player with good communication and presentation skills

Role description:

Required skills:

4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
Should have worked on proprietary and open source large language models
Experience on LLM fine tuning, creating distilled model from hosted LLMs
Building data pipelines for model training
Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
Experience in GenAI application deployment on cloud and on-premise at scale for production
Experience in creating CI/CD pipelines
Working knowledge on Kubernetes
Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
Experience in light weight UI development using streamlit or chainlit (optional)
Desired experience on open-source tools for ML development, deployment, observability and integration
Background on DevOps and MLOps will be a plus
Experience working on collaborative code versioning tools like GitHub/GitLab
Team player with good communication and presentation skills

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About Fractal Analytics

Founded :

2000

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Fractal is one of the most prominent players in the Artificial Intelligence space.Fractal's mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the world's most admire Fortune 500® companies.

Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Manage- ment, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs.

Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, a leader in Analytics & Al Services Specialists Peak Matrix 2021 by Everest Group and recognized as an "Honorable Vendor" in 2022 Magic Quadrant™™ for data & analytics by Gartner. For more information, visit fractal.ai

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