HIRE The Perfect Fit for Your AI Remote Team
Quickly scale your business with pre-vetted AI, ML & TECHNOLOGY experts from PEOPLE PRIME’S talent network.
Available
Rodrigo | AIML Engineer
Dell | 7+ years of experience
Deep Learning | Tensorflow | pytorch
Available
Sara Bright | Data Scientist
Open AI | 10 years of experience
Deep Learning | Tensorflow | Pytorch
Available
Arthur | Blockchain Developer
CYIENT | 8+ years of experience
Cryptography | DApp Development | Security Auditing
Available
Sravani Panam | DevOps Engineer
ExcelR | 5+ years of experience
Cloud Computing Processing | CI/CD Pipeline Automation | LinuxHow It Works




Browse the talent directory
Search 1,000+ pre-vetted AI,ML,Data & cloud professional, Filter by skill, domain, availability and contract rate- no login needed.
Review candidate profiles
Each profiles shows skills, years of experience,real-time availability,and hourly contract rate-everything you need to shortlist in minutes.
Connect via chatboat instantly
When you spot the right profile.the embedded Tidio chatboat connects you directly to a people prime sales executive- zero forms,zero wait.
Schedule & interview
Book a direct interview using the built-in Cal.com scheduler. Pick a slot that works across IN and US time zones-no back and forth email.
Hire on contract & deploy
Finalise contract terms with our team, sign off, and your talent is onboarded and working - typically within 72 hours of first contact.
SIX
Pillars Powering Modern
AI Execution
- R
- Python
- Data Structures & Algorithms
- Linear Algebra
- Probability & Statistics
- Optimization
- SQL & NoSQL
- Data Cleaning
- Feature Engineering
Probability & Statistics
- Probability basics
- Distributions
- Hypothesis testing
- Regression
- Sampling
- Bayesian basics
Feature Engineering
- Feature selection
- Feature scaling
- Encoding (one-hot, label)
- Feature creation
- Dimensionality reduction
- Handling imbalance
Data Structures & Algorithms
- Arrays & Strings
- Linked Lists
- Stacks & Queues
- Trees & Graphs
- Sorting & Searching
- Complexity (Big-O)
Linear Algebra
- Matrices & vectors
- Eigenvalues
- Matrix operations
- Vector spaces
- Dot product
- Transformations
Optimization
- Gradient descent
- Loss functions
- Convex optimization
- Regularization
- Hyperparameter tuning
- Constraints
Python
- Core Python
- Pandas / NumPy
- OOP
- Data handling
- API integration
- Scripting & automation
- Libraries
Probability & Statistics
- Probability basics
- Distributions
- Hypothesis testing
- Regression
- Sampling
- Bayesian basics
SQL & NoSQL
- SQL queries (CRUD)
- Joins & subqueries
- Indexing
- MongoDB basics
- Data modeling
- Query optimization
Data Cleaning
- Missing value handling
- Outlier detection
- Data transformation
- Normalization
- Deduplication
- Data validation
Python
- Core Python
- Pandas / NumPy
- OOP
- Data handling
- API integration
- Scripting & automation
- Libraries
R
- Data analysis
- Statistical modeling
- Data visualization (ggplot2)
- dplyr / tidyverse
- Time series
- Reporting
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