LLM Researcher
Equinix
Research, build, and deploy advanced LLM and generative AI solutions on cloud platforms.
2 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Bengaluru, Karnataka, India
Office Full-Time
Company Size
10,000 Employees
Service Specialisms
Data center colocation
Interconnection services
Smart Hands / remote support
Software-defined interconnection
Network Edge services
Equinix Metal (bare metal)
Equinix Fabric (cloud routing)
Managed services (integration & advisory)
Sector Specialisms
No specialisms available
Role
What you would be doing
llm development
agent integration
mlops platform
model deployment
pipeline automation
generative ai
- Research and implement advanced Large Language Models (LLMs)
- Utilize complex agents with platforms like Google Agentspace, Microsoft CoPilot, and Salesforce Agentforce
- Develop features, conduct tests, perform statistical analyses, and interpret results to drive insights
- Apply cutting-edge technologies and toolchains in big data and machine learning to build a robust machine learning platform on the cloud (MLOps)
- Deploy machine learning models into production using cutting-edge deployment strategies and conduct A/B tests to objectively measure performance improvements
- Innovate and optimize the machine learning workflow, from data exploration and model experimentation to production deployments on cloud platforms such as GCP or Azure
- Continuously innovate and optimize the machine learning workflow, from data exploration and model experimentation to production deployment
- Publish NLP or Machine Learning research papers in top AI journals or conferences
- Develop model pipelines in a development environment, manage version control with Git, utilize GitHub Actions, containerize applications, and deploy them to virtual machines, App Engine, or Kubernetes clusters
- Collaborate with Generative AI Centre of Excellence leaders and Equinix business units to assist in deciding between purchasing off-the-shelf generative AI tools and building solutions from foundational models for various generative AI applications
What you bring
phd
python
pytorch
tensorflow
nlp
cloud
- Excellent time management, communication, and organizational skills
- PhD with 4+ years of experience, Master’s with 3+ years, or Bachelor’s with 6+ years in Data Science, Computer Science, or Machine Learning
- Proficiency in Python programming is essential
- Architect LLM solutions that integrate agents built on different clouds or applications into a unified platform
- Articulate research findings into patents
- Strong understanding of software engineering principles and design patterns
- Proficiently use deep learning frameworks such as PyTorch and TensorFlow
- (Good to have) Envision, implement, and deliver production-level classical machine learning models (regression, classification, clustering), NLP models (sentiment analysis, summarization, chatbot/Q&A, information retrieval), and computer vision applications (image classification, object detection, semantic segmentation, and instance segmentation using YOLO V7, DDRNet, RFTM with pre-trained datasets like COCO and Cityscapes)
- Ability to effectively communicate analysis results and insights
- Experience with at least one major cloud platform
- Possess in-depth knowledge of NLP fundamentals, including transformers, attention models, and text pre-processing
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
1998
Year Established
The company was established in 1998, marking the beginning of its journey in providing data center and interconnection services.
25+ Countries
Global Presence
Operates in over 25 countries, showcasing its extensive international reach and capability to serve a global clientele.
200+ Data Centers
Global Infrastructure
Provides essential services through over 200 data centers worldwide, supporting digital ecosystems and business growth.
- World’s largest provider of data center and interconnection services.
- Offers cutting-edge solutions that enable businesses to scale and adapt to the digital age.
- Facilitates high-performance connections for industries like cloud computing, telecommunications, and finance.
- Provides services including hybrid cloud solutions, network and application performance optimization, and interconnection for business ecosystems.
- At the forefront of advancing global digital transformation through strategic partnerships with leading companies.
- Innovative business models drive enterprise infrastructure modernization, ensuring security and compliance.
- Thriving workplace where every colleague is valued and respected for who they are and what they contribute
- Foster belonging—cultivating an environment where every employee feels empowered to bring their authentic selves to work
- Deliberate inclusion of all perspectives to strengthen decision‑making and business outcomes
- Programs to enhance workplace experience and attract high‑performing talent
Net-zero by 2040
Greenhouse Gas Emissions Target
Committed to achieving net-zero greenhouse gas emissions across all scopes by 2040, verified by Science Based Targets.
50% reduction by 2030
Emission Reduction Target
Reducing Scope 1/2 emissions and fuel/energy-related Scope 3 emissions by half from 2019 levels by 2030.
100% Renewable Energy
Global Portfolio Goal
Aiming to source 100% of energy from renewable sources across all operations by 2030, having reached 96% in 2024.
A-List Recognition
CDP Climate Change
Achieved consecutive years of 'A-List' recognition from CDP for climate change management and transparency.
- Target global average PUE of 1.33 by 2030; achieved 1.39 in latest reporting (6% improvement YoY)
- Installed 72 MW fuel cells (capable of Hâ‚‚ blends), avoiding 285,000 MTCOâ‚‚e and 382 billion gallons of embedded water use
- Consumed 8,560 GWh electricity across 268 data centers in 35 countries, with 1,285 MW of long-term PPAs
- Reduced operational Scope 1/2 emissions 24% from 2019 baseline; total 2024 footprint 1,747,700 MTCOâ‚‚e
- Issued ~$6.9 billion in green bonds to finance green buildings, energy efficiency, renewable energy, and decarbonization projects
17% increase
Women Employees Increase
Represents a significant global growth in the number of women employees over the past year.
14% increase
Black/African-American Employees
Signifies a notable rise in the number of U.S.-based Black/African-American employees.
47 organizations
Digital Inclusion Funding
Reflects the number of organizations supported by the foundation to enhance digital access and skills development.
11–37% increase
Employee Volunteer Hours
Highlights the growth in global volunteer hours, with a notable example of 25,300 hours in the latest reporting period.
Kablio AIIf you're someone who helps build and power the world (or dreams to), Kablio AI is your pocket-sized recruiter that gets you hired.
Copyright © 2025 Kablio